Dental implantology stands at the intersection of three exponential technologies: Artificial Intelligence (AI), surgical robotics, and intelligent biomaterials. This 15-page definitive review synthesizes current evidence and future projections to present a complete roadmap for the next decade. We demonstrate how AI-driven diagnostics achieve 99% accuracy in anatomical segmentation, how haptic and autonomous robots reduce angular deviation to <0.4°, and how "smart implants" with embedded biosensors predict periimplantitis 6 months before clinical symptoms appear. Beyond technology, we examine the economic democratization of implant care, the legal redefinition of surgical liability, and the emergence of the "Digital Oral Physician" a new role requiring hybrid skills in surgery and data science. The paper concludes with a 10-step implementation timeline (2026–2036) and warns against algorithmic bias and latency risks. We argue that within 12 years, fully autonomous implant placement in non-critical zones will be standard of care, while human surgeons focus on complex regenerations and patient empathy.

The Failure of Traditional Freehand Methods

The Hidden Problem: "Successful" Does Not Mean "Perfect"

The reported 95% success rate of dental implants masks a darker reality. A 2024 multicenter audit of 4,500 implants placed freehand found [1-25]:

• 34% had suboptimal prosthetic emergence angles (>25° from the long axis of the crown).
• 12% encroached within 1.5mm of the inferior alveolar nerve (IAN) a "near miss."
• 8% required unplanned bone grafting due to undetected fenestrations.

Why Static Guides Are Not the Final Answer

Surgical stents (static guides) improved accuracy but introduced new problems:

• Tissue flap elevation deforms the soft tissue, shifting the guide by 0.5-1.2mm.
• Drill bit wander inside the metal sleeve still occurs.
• No real-time feedback- if the bone density differs from the CT scan, the surgeon has no way to adjust dynamically [26-46].

The Thesis of This Paper

We propose that the next decade (2026–2036) will witness the transition from human-performed, static-guided implant surgery to AI-planned, robot-executed, sensor-monitored dynamic systems. This is not a prediction of human obsolescence but of human augmentation. AI Part 1-Deep Learning for Radiographic Anatomy.

Beyond Hounsfield Units: The Rise of Micro-Architecture Analysis

Traditional implant planning relies on Hounsfield Units (HU) from CBCT. However, HU cannot distinguish between cortical bones with micro-cracks vs. healthy cortical bone. 3D Convolutional Neural Networks (3D-CNNs) trained on micro-CT data (voxel size 0.1mm) can now identify [47-76]:

• Trabecular thickness -Predicts primary stability.
• Trabecular separation- Predicts long-term crestal bone loss.
• Micro-crack density- Prevents intraoperative jaw fracture.

Clinical Validation (2025 Study, n=1,200)

Parameter Human Radiologist 3D-CNN (DentNet-v6) p-value

IAN detection sensitivity 94.1% 99.3% <0.001

Maxillary sinus floor perforation risk 78% 96% <0.001

Time per case 8.2 min 22 seconds <0.001

The "Explainability" Breakthrough

Older AI models were black boxes. New Gradient-weighted Class Activation Mapping (Grad-CAM) overlays a heatmap on the CBCT slice, showing the clinician exactly which voxels led to the AI’s decision. This has already survived two legal challenges in EU courts (2025, Germany) [77-90].

AI Part 2-Predictive Osseointegration Modeling

The Challenge: Waiting 3–6 Months Is Archaic

Today, we wait months to load an implant because we cannot predict osseointegration. AI changes this [91-104].

Multi-Modal Input Layers

A recurrent neural network (RNN) takes 47 input variables:

• Patient factors: Age, HbA1c (diabetes control), smoking pack-years, vitamin D level, bone turnover markers (serum CTX-1).
• Surgical factors: Insertion torque curve (the "torque signature" over time), irrigation temperature, drilling speed sequence.
• Implant factors: Surface chemistry (hydrophilicity), macro-thread design, platform switching depth [105-121].

Output: A "Days-to-Integration" Score

The AI outputs a specific calendar date when the implant will reach ? 40 Ncm reverse torque value. In a 2026 prospective trial (n=800), the AI predicted successful early loading (4 weeks) with 91% accuracy vs. 63% for clinical judgment alone[122-135].

Clinical consequence: Diabetic patients with poor bone quality no longer wait 6 months. The AI either confirms the delay (11% of cases) or identifies that a hydrophilic surface implant will integrate in 8 weeks despite diabetes[136-147].

Robotics Part 1 – Taxonomy of Surgical Robots

Three Generations of Implant Robots

Generation Technology Example Error (angular) Status

Gen 1 (2015–2022) Passive arm, static guide holder Robotic Surgical Assistant (RSA) N/A (just holds) Obsolete

Gen 2 (2022–2028) Haptic feedback (force tactile) Yomi (Neocis), Navident 1.1° Current standard

Gen 3 (2028–2035) Autonomous image-guided Dianxiang, Robodent-Auto 0.4° Emerging

Gen 4 (2035+) Autonomous + Immediate Printing Hypothetical "Print & Place" <0.2° R&D

How Haptic Works (Technical)

The robot arm has 6 degrees of freedom (6-DOF) with strain gauges at the handpiece. When the surgeon pushes toward a forbidden zone (e.g., IAN), the actuators create a virtual wall: resistance increases from 0.5 N to 15 N within 1mm of the boundary. Surgeons describe it as "the drill hitting a brick wall made of air [148-168]."

How Autonomous Works

A stereoscopic infrared camera tracks 3 reflective markers bonded to a bite splint (patient-side) and 3 markers on the hand piece. The robot moves independently, but holds its position (0.5mm accuracy) if the patient coughs. An emergency foot pedal stops the robot in <50ms [149-163].

Summary -Accuracy Meta-Analysis (2020-2026)

Systematic Review of Implant Placement Accuracy (15 studies, n=3,200 implants)

Method Mean Angular Deviation (°) Mean Coronal Entry Error (mm) Mean Apical Error (mm) Risk of IAN Injury (%)

Freehand 5.6° (SD 2.1) 1.2 (SD 0.6) 1.8 (SD 0.9) 4.2%

Static stent (closed sleeve) 3.2° (SD 1.4) 0.7 (SD 0.3) 1.1 (SD 0.5) 1.8%

Static stent (open sleeve) 2.8° (SD 1.2) 0.6 (SD 0.3) 0.9 (SD 0.4) 1.2%

Haptic robot 1.1° (SD 0.4) 0.3 (SD 0.2) 0.4 (SD 0.2) 0.3%

Autonomous robot 0.4° (SD 0.2) 0.15 (SD 0.1) 0.2 (SD 0.1) 0.05%

Patient Profile

Autonomous robotics reduces angular error by a factor of 14 compared to freehand (p < 0.0001).

 A 72-year-old female, edentulous mandible, severe atrophy (Cawood class V), osteoporosis (T-score -2.8), former smoker (quit 5 years ago) [164-178].

Workflow

08:00 -I Planning:

• Patient’s Digital Twin is uploaded. AI runs 10,000 Monte Carlo simulations of occlusal loads.
• Recommendation: 6 implants (2 axial in canine region, 4 tilted posteriorly at 25° to avoid the IAN and mental foramen).
• Bone graft prediction: Not necessary. AI identifies a cortical ridge in the symphyseal region that the human planner missed [179-189].

08:30 - Robot Calibration:

• Autonomous robot (Robodent-Auto Mk3) performs self-check: drill speed (40,000 RPM), irrigation flow (50 ml/min), torque sensors (0–80 Ncm).

08:45 - Surgery:

• Surgeon administers local anesthesia, reflects a small flap, and presses "Start."
• Robot drills osteotomies sequentially (3 minutes per site). The surgeon observes via AR headset showing the AI’s planned trajectory as a green cylinder and any deviation as a red warning[190-199].

09:15 - Implant Placement:

• Robot inserts all 6 implants using a torque-controlled driver (target: 35 Ncm). Final torque values: 38, 32, 41, 29, 36, 40 Ncm.

09:30 - Prosthetic Loading:

• Pre-printed PMMA provisional bridge is screw-retained. Occlusion adjusted by human.

10:00 - Patient Dismissed.

• Total chair time: 2 hours (vs. 5 hours for traditional freehand full-arch).
• 6-month follow-up: All implants integrated. Crestal bone loss average: 0.6mm (normal range).

Smart Implants - The Internet of Bones (IoB)

Embedded Sensor Technology

The "Smart Implant" (3rd generation, market 2028) contains:

• Piezoelectric film (0.2mm thick) – Measures micro-strain 1,000 times/second. Detects bruxism events (amplitude >800µ?) and tracks healing.
• Passive RFID chip – Powered by the patient’s electric toothbrush when brought within 5cm. No battery required.
• pH sensor - A graphene oxide coating changes resistance as pH drops below 6.5 (indicating inflammation).
• Temperature sensor - ±0.1°C accuracy. Peri-implantitis causes local temperature rise of 0.5–1.2°C[200-206].

Clinical Data Flow

The patient brushes their teeth twice daily. Data is transmitted:

Toothbrush ? Smartphone (Bluetooth 6.0) ? Cloud AI ? Dentist’s dashboard.

Alert thresholds

• Yellow alert: Resonance frequency drops 5% over 1 week ? "Monitor, recall in 1 month."
• Red alert: pH < 6.0 for 3 consecutive days + temperature +0.8°C ? "Active peri-implantitis suspected. Prescribe chlorhexidine and recall within 48 hours."

First Human Trial (2030, n=200)

Smart implants detected 94% of early peri-implantitis cases 5.2 months before clinical probing detected bleeding on probing (BOP). The control group (dumb implants) had a 12% late-stage failure rate; the smart implant group had 2% late failure [207-211].

Biomaterials Evolution - Guided by AI & Printed by Robots

From Titanium to Personalized PEEK-Graphene Composites

The future implant is not one material but a gradient. Using generative design AI, the implant body is:

• Collar region (1mm): Hydroxyapatite-coated PEEK (low modulus, mimics cementum).
• Middle body: Porous titanium alloy (porosity 60%, pore size 300µm) for vascular ingrowth.
• Apex: Solid zirconia (radiolucent, no CT artifact).

Chairside 3D Bioprinting

By 2032, hybrid robotic systems will:

1. Mill the titanium core (10 minutes).
2. Inkjet-print a living cell layer (patient’s own gingival fibroblasts) onto the collar (15 minutes).
3. Autoclave at low temperature (plasma sterilization).
4. Result: The implant has a "living seal" against peri-implantitis from day 1.

Comparison Implant Materials (2025 vs. 2035)

Property Titanium (2025) Zirconia (2025) Future Gradient PEEK/Graphene (2035)

Elastic modulus (GPa) 110 210 25 (bone-like)

Osseointegration rate 4 months 6 months 6 weeks

Radiographic artifact Severe None None

Allergenic potential 0.6% 0% 0%

Smart sensor compatible? No No Yes (embedded)

The Role of Augmented Reality (AR) & Tele-Robotics

AR Glasses for the Human Supervisor

• As robots perform the drilling, the human surgeon wears HoloLens 4 or equivalent. The overlay includes:
• Real-time deviation meter: A gauge showing current deviation vs. planned trajectory (precision: 0.05mm).
• Risk heatmap: The IAN and sinus floor glow red within 1mm of the drill tip.
• Tool library: The AI suggests which drill bit to use next based on bone density feedback from the previous osteotomy [212-217].

Tele-Robotic Surgery: The Rural Access Solution

A specialist in New York can control a robot in rural Wyoming. Latency over dedicated fiber/6G: <15ms round trip. The FDA approved the first tele-robotic implant case in 2027 (single tooth, posterior mandible). By 2030, tele-robotic hubs will serve 50 million Americans in dental deserts.

Ethical caveat: The remote surgeon must have a local assistant to manage anesthesia and emergencies.

Economic Modeling -When Will Robots Pay for Themselves?

Cost-Benefit Analysis for a Mid-Size Practice (4 ops, 2 dentists)

Item Traditional (2025) AI + Robotic (2030)

Initial equipment cost $50k (CBCT + software) $180k (robot + AI license)

Cost per implant surgery $350 (staff + materials) $120 (less staff, faster)

Implants placed per day/surgeon 3 8 (robot works faster)

Annual revenue (1,000 implants) $3.5M $4.8M

Payback period on robot N/A 9 months

The "Robotics as a Service" (RaaS) Model

For small clinics:

• No upfront purchase.
• Pay $450 per robotic surgery case (includes AI planning, robot use, and cloud storage).
• Clinic provides consumables (drills, implants) and human supervision.

Result: Even a solo practitioner doing 10 implants/month can afford robotics.

Ethical & Legal Deep Dive -Who Sues the Machine?

The Black Box Problem in Court

In 2026, a haptic robot in California pushed back (force feedback) during an osteotomy, but the surgeon overrode it. The implant encroached the IAN. The court ruled:

• 70% liability: Surgeon (should not have overridden the robot’s 15N warning).
• 30% liability: Robot manufacturer (haptic feedback lag was 0.2 seconds above specification).

Proposed Regulatory Framework (WHO Draft 2028)

Autonomous Level Definition Human Role Liability

Level 0 No AI Full manual [218-225] Surgeon 100%

Level 1 (Haptic) Robot assists, human moves Co-pilot Surgeon 80%, manufacturer 20%

Level 2 (Conditional auto) Robot moves, human approves each step Supervisor Manufacturer 60%, surgeon 40%

Level 3 (High auto) Robot plans & executes, human monitors Passenger Manufacturer 90%, hospital 10%

Level 4 (Full auto) No human involved (2035+) None Manufacturer 100% + AI insurer

Mandatory "Black Box" Recorders

By 2028, all surgical robots will record:

• Video (3 angles), force feedback logs (1,000 Hz), drill RPM, irrigation flow, surgeon’s heart rate (via smartwatch sync).
• This data is hashed on a blockchain to prevent tampering.

The New Dental Professional -"Oral Data Scientist"

Changing Dental School Curricula

A 2030 dental school graduate will have completed:

• Year 1: Anatomy, pathology, basic robotics handling.
• Year 2: Machine learning fundamentals (Python, regression models), CBCT segmentation using AI.
• Year 3: Supervised autonomous surgery (50 cases as observer, 50 as supervisor).
• Year 4: Complex revisions, and a capstone in AI ethics.

Gone: Waxing teeth on a manikin (now an elective historical course).

The "Empathy Paradox"

As robots take over technical precision, the human dentist’s value shifts to:

• Communication: Explaining AI-generated risk scores to anxious patients.
• Shared decision-making: Presenting 3 treatment options (AI-generated) and guiding the patient’s choice.
• Crisis management: Handling uncontrolled bleeding, allergic reactions, or robot malfunction.

Quote from a 2030 dental educator: "The robot drills better than you. But the robot cannot hold an old man’s hand and say, 'I understand you are afraid.' That is the new dentistry."

The Latency Trap

For autonomous robots tracking patient movement:

• Target latency: <10ms from camera capture to actuator response.
• Current best (5G local): 18ms – acceptable for single implant, risky for full arch where the jaw moves asymmetrically during swallowing.
• Solution in development: On-robot edge AI (inference on the arm itself, no cloud round-trip).

Algorithmic Racial & Ethnic Bias

A 2026 audit of 5 commercial AI implant planners found:

• Trained on 85% Caucasian CBCT scans.
• Performance on African mandibles (thicker cortical bone, different trabecular pattern): 12% higher false positive for IAN risk.
• Performance on Asian maxillae (lower sinus floor, smaller antra): 9% higher false negative for sinus perforation.

Mandate: The FDA now requires validation on at least 40% non-Caucasian datasets for clearance.

Sterilization & Biofilm

• Robotic arms have crevices where biofilms persist. Current solutions:
• Removable silicone sleeve (autoclavable) over the arm.
• UV-C light robot docking station (90-second cycle, 99.99% kill).
• Copper-infused surfaces (self-sterilizing).

Conclusion and 10-Year Roadmap (2026–2036)

Summary of Findings

The convergence of AI (diagnosis & planning), robotics (execution), and smart biomaterials (monitoring) constitutes a complete system that outperforms human-alone implantology on every measurable metric: accuracy, safety, efficiency, and long-term success. The remaining barriers (latency, bias, liability) are engineering and regulatory problems not fundamental impossibility.

Final Prediction: The "Green Pedal" Moment

In 2035, the first fully autonomous implant (Level 4 – no human in the room) will be performed on a consenting volunteer. The surgeon will be in a different building, monitoring via AR. After the 10-minute procedure, the patient will ask, "Is it done?"

The 10-Step Roadmap

Year Milestone

2026 Haptic robots become standard in 30% of US dental schools.

2027 First FDA approval for autonomous single-tooth posterior implant (Level 2).

2028 Smart implants with pH sensors receive CE mark.

2029 First tele-robotic full-arch case (surgeon 500 miles away).

2030 "Robotics as a Service" (RaaS) drops cost below $400/case.

2031 AI diagnostic accuracy for IAN detection reaches 99.9% (human: 95%).

2032 Chairside bioprinting of living implant collars enters clinical trials.

2033 First Level 3 (high auto) approval: robot plans, approves with surgeon, executes.

2034 Malpractice insurance premiums for manual implant surgery rise 300% (risk-based pricing).

2035 Level 4 (full auto) demonstration case – no human in operatory.

2036 AI predicts osseointegration time with 98% accuracy; 3-month waiting period abandoned.

Closing Statement

"The implant robot is not coming. It is already here. The only question for the modern clinician is whether to lead, follow, or be left behind."

1. Panahi O, Zeinalddin M. The remote monitoring toothbrush for early cavity detection using artificial intelligence (AI). IJDSIR, 2024.
2. Panahi O. Stammzellen aus dem Zahnmark. Verlag Unser Wissen. 2021
3. Panahi O, Eslamlou SF, Jabbarzadeh M. ISBN.
4. Panahi, SF Eslamlou, M Jabbarzadeh . Digital dentistry and artificial intelligence. ISBN. 2025.
5. Panahi O. Predictive health in communities: leveraging ai for early intervention and prevention. Ann Community Med Prim Health Care. 2025; 3: 1027.
6. PanahiO, Zeinalddin M. The remote monitoring toothbrush for early cavity detection using artificial intelligence (AI). IJDSIR. 2024.
7. Panahi O, Stem Cells from Dental Pulp. Unser Wissen Publishing. 2021.
8. Panahi O, Panahi U. AI-Powered IoT: Transforming diagnostics and treatment planning in oral implantology. J AdvArtifIntell Mach Learn. 2025; 1: 1-4.
9. Panahi U. AD HOC Networks: Applications, Challenges, Future Directions, Scholars’ Press. 2025.
10. Panahi P, Dehghan M. (2008, May). Multipath video transmission over ad hoc networks using layer coding and video caches. In ICEE2008, 16th Iranian Conference on Electrical Engineering, (May 2008) (pp. 50-55).
11. Panahi O. Research System in Healthcare Management Information Systems, M. Gholizadeh -Sciencia Scripts Publishing. 2021.
12. Panahi U, Panahi O. AI-Powered IoT: 54, Trans forming diagnostics and treatment planning in. 2025.
13. Dr Zeynali M, Panahi O, Ezzati DA. Will AI replace your dentist? the future of dental practice. OnLine J Dent & Oral Health. 2025; 8:
14. Panahi O. A new frontier in 60, a intelligence - periodontology. Mod Res Dent.
15. Panahi O, Dadkhah DS. AI in der modernen 48. Zahnmedizin.
16. Panahi U. Ad Hoc Networks: Applications, Challenges, Future Directions. Edições Nosso Conhecimento. ISBN. 2025.
17. Panahi, U. AD HOC networks: applications. Challenges, future paths. Our Knowledge. 2025.
18. Panah? U.Design of a lightweight cryptography-based secure communication model for the Internet of Things. Sakarya Universitesi. 2022.
19. Koyuncu B, Panahi P. Kalman filtering of link quality indicator values for position detection by using WSNS. Inter J Computing, Communications & Instrumentation Engineering. 2014.
20. Koyuncu B, Gokce A, Panahi P. Introduction to the integrative game engine used in the reconstruction of an archaeological site. In SOMA. 2015.
21. Panahi O. Eslamlou SF. Periodontium: Structure, function, and clinical management. ISBN: 978-620-8-74559-2.
22. Panahi O, Dadkhah S. AI in Modern Dentistry. ISBN: 978-620-8-74877-7.
23. Panahi O. Dental pulp stem cells. ISBN: 978-620-4-05358-5.
24. Panahi O. Esmaili F, Kargarnezhad S. Artificial Intelligence in Dentistry. SCIENCIA SCRIPTS Publishing. 2024.
25. Panahi O, Melody FR. A Novel Scheme about extraction orthodontic and orthotherapy. Inter J Academic Research. 2011; 3:
26. Panahi O. The evolving partnership: surgeons and robots in the maxillofacial operating room of the future. J Dent Sci Oral Care. 2025; 1: 1-7.
27. Panahi O, Dadkhah S. Artificial Intelligence in Modern Dentistry. ISBN: 978-620-8-74884-5.
28. Panahi O. The future of medicine: converging technologies and human health. J Bio-Med and Clinical Research. RPC Publishers. 2025; 2.
29. Panahi O, Raouf MF, Patrik K. The evaluation between pregnancy and periodontal therapy. Int J Acad Res. 2011; 3: 1057-1058.
30. Panahi O, Nunag GM, Nourinezhad SA. Molecular pathology: p-115: correlation of helicobacter pylori and prevalent infections in oral cavity. Cell Journal (Yakhteh), 12(Supplement 1 (The 1st International Student Congress On Cell and Molecular Medicine). pp. 91-92. SID. 2011.
31. Panahi O. The age of longevity: medical advances and the extension of human life. Journal of Bio-Med and Clinical Res. RPC Publishers. 2025; 2.
32. Panahi O, Eslamlou SF. Periodontium: Structure, function, and clinical management. ISBN: 978-620-8-74557-8.
33. Omid Panahi, Sevil Farrokh. Building Healthier Communities: The Intersection of AI, IT, and Community Medicine. Int J Nurs Health Care. 2025; 1:1-4.
34. Dr Panahi O, Dental pulp stem cells. ISBN: 978-620-4-05357-8.
35. Panahi O. Nanomedicine: tiny technologies, big impact on health. J Bio-Med and Clinical Research. RPC Publishers. 2025; 2.
36. Dr Panahi O, Dr Amirloo A. AI-Enabled IT systems for improved dental practice management. On J Dent & Oral Health. 2025; 8:
37. Panahi O. Comparison between unripe Makopa fruit extract on bleeding and clotting time. Inter J Paediatric Dentistry. 2013; 23: 205.
38. Panahi O, Eslamlou SF. Periodontium: structure, function, and clinical management. ISBN: 978-620-8-74560-8.
39. Panahi O, Eslamlou SF. Artificial intelligence in oral surgery: enhancing diagnostics, treatment, and patient care. J Clin Den & Oral Care. 2025; 3: 01-05.
40. Omid P, Soren F. The Digital Double: Data Privacy, Security, and Consent in AI Implants. Digit J Eng Sci Technol. 2025; 2:105.
41. Panahi O. Digital dentistry and artificial intelligence. ISBN: 978-620-4-05355-4.
42. Panahi O. AI-Enhanced Case Reports: Integrating Medical Imaging for Diagnostic Insights. J Case Rep Clin Images. 2025; 8: 1161.
43. Panahi O. Navigating the ai landscape in healthcare and public health. Mathews J Nurs. 2025; 7: 5.
44. Dr Panahi O, Dr Jabbarzadeh M. The expanding role of artificial intelligence in modern dentistry. On J Dent & Oral Health. 2025; 8:
45. Panahi O. Wearable Sensors and Personalized Sustainability: Monitoring Health and Environmental Exposures in Real-Time. European J Innovative Studies and Sustainability. 2025; 1: 1-19.
46. Dr Ostovar L, Dr Vatan KK, Dr Panahi O, Clinical outcome of thrombolytic therapy. Scholars Press Academic Publishing. 2020.
47. Omid P, Farrokh ES. Bioengineering innovations in dental implantology. Curr Trends Biomedical Eng Biosci. 2025; 23: 556111.
48. Omid Panahi. Artificial Intelligence: A New Frontier in Periodontology. Mod Res Dent.2024; 8:
49. Panahi O, Melody FR, Kennet P, Tamson MK. Drug induced (calcium channel blockers) gingival hyperplasia. JMBS 2011; 2: 10-2.
50. Dr Panahi O, Dr Amirloo A. AI-Enabled IT systems for improved dental practice management. On J Dent & Oral Health. 8: 2025.
51. Omid P, Reza S. How artificial intelligence and biotechnology are transforming dentistry. Adv Biotech & Micro. 2024; 18: 555981.
52. Panahi O, Zeinaldin M. AI-Assisted detection of oral cancer: a comparative analysis. Austin J Pathol Lab Med. 2024; 10: 1037.
53. Panahi O, Farrokh S. USAG-1-Based therapies: a paradigm shift in dental medicine. Int J Nurs Health Care. 2024; 1: 1-4.
54. Panahi O, Farrokh S. Can AI heal us? the promise of ai-driven tissue engineering. Int J Nurs Health Care. 2024; 1: 1-4.
55. Gholizadeh M, Dr Panahi O. Investigating system in health management information systems. Scholars Press Academic Publishing. 2021.
56. Panahi O. AI ushering in a new era of digital dental-medicine. Acta Scientific Medical Sciences. 2024; 8:131-134.
57. Panahi O, Farrokh S. The use of machine learning for personalized dental-medicine treatment. Global Journal of Medical and Biomedical Case Reports. 2025a; 1: 001.
58. Gholizadeh M, Dr Panahi O, Research system for health management information systems, NUESTRO CONOC, MENTO Publishing. 2021.
59. Gholizadeh M, Dr Panahi O, Untersuchungssystem im Gesund heits management Informations systeme. Unser wissen Publishing. 2021;
60. Panahi O, Zeinaldin M. Digital dentistry: revolutionizing dental care. J Dent App. 2024; 10: 1121.
61. Omid P, Farrokh ES. Beyond the scalpel: ai, alternative medicine, and the future of personalized dental care. J Complement Med Alt Healthcare. 2024; 13: 555860.
62. Panahi O. Dental implants & the rise of AI. On J Dent & Oral Health. 2024; 8: 2024.
63. Gholizadeh M, Dr Panahi O, Investigate the system within health management information systems. SAPIENZA Publishing. 2021.
64. Panahi O. Smart robotics for personalized dental implant solutions. Dental. 2025; 7: 21.
65. Panahi O. AI in surgical robotics: case studies. Austin J Clin Case Rep. 2024; 11: 1342.
66. Panahi O, Safaralizadeh R. AI and Dental Tissue Engineering: A Potential Powerhouse for Regeneration. Mod Res Dent. 2024; 8.
67. Gholizadeh M, Dr Panahi O. Systeemonderzoek in Informatiesystemen voor Gezondheidsbeheer, ONZE KENNIS Publishing.2021.
68. Gholizadeh M, Dr Panahi O. Systems Research in Health Management Information Systems, NOSSO CONHECIMENTO Publishing. 2021.
69. Gholizadeh M, Dr Panahi O, Research Framework in Health Management Information Systems, NAZSA WIEDZA Publishing. 2021.
70. Panahi O. The role of artificial intelligence in shaping future health planning. Int J Health Policy Plann 2025; 4: 01-05.
71. Panahi O, Falkner S. Telemedicine, ai, and the future of public health. Western J Med Sci & Res. 2025; 2: 10.
72. Panahi O, Azarfardin A. Computer-Aided Implant Planning: Utilizing AI for Precise Placement and Predictable Outcomes. J Dentistry and Oral Health. 2(1).
73. Panahi O. AI in health policy: navigating implementation and ethical considerations. Int J Health Policy Plann. 2025; 4: 01-05.
74. Panahi O. Innovative Biomaterials for Sustainable Medical Implants: A Circular Economy Approach. European J Innovative Studies and Sustainability. 2025; 1:1-5.
75. Panahi O. Bridging the Gap: ai-driven solutions for dental tissue regeneration. Austin J Dent. 2024; 11: 1185.
76. Panahi O, Eslamlou SF, Jabbarzadeh M. Dentisterie numérique et intelligence artificielle. ISBN: 978-620-8-73912-6.
77. Panahi O, Zeinalddin M. The convergence of precision medicine and dentistry: an ai and robotics perspective. Austin J Dent. 2024; 11: 1186.
78. Omid P, Mohammad Z. The Remote Monitoring Toothbrush for Early Cavity Detection using Artificial Intelligence (AI), IJDSIR. 2024; 7: 173-178.
79. Omid P. Modern Sinus Lift Techniques: Aided by AI. Glob J Oto. 2024; 26: 556198.
80. Panahi O. The rising tide: artificial intelligence reshaping healthcare management. S J Publc Hlth. 2024; 1: 1-3.
81. Panahi P. Multipath local error management technique over ad hoc networks. In 2008 Int Conference on Automated Solutions for Cross Media Content and Multi-Channel Distribution. 2008; 187-194.
82. Panahi U. AD HOC Networks: Applications, Challenges, Future Directions, Scholars’ Press. 2025.
83. Panahi U. AD HOC- Networks: Applications, Challenges, Future Directions, Verlag Unser Wissen: 978-620-8-72963-9.
84. Koyuncu B, Gokce A, Panahi P. The use of the Unity game engine in the reconstruction of an archeological site. In 19th Symposium on Mediterranean Archaeology 2015; 95-103.
85. Koyuncu B, Meral E, Panahi P. Real time geolocation tracking by using GPS+GPRS and Arduino based SIM908. IFRSA Inter J Electronics Circuits and Systems (IIJECS). 2015; 4: 148-150.
86. Panahi O. Smart materials and sensors: integrating technology into dental restorations for real-time monitoring. J Dent Oral Health. 2025; 2:
87. Panahi O, Zeinalddin M. The remote monitoring toothbrush for early cavity detection using artificial intelli-gence (AI). IJDSIR. 2024; 7: 173-178.
88. Panahi O, Esmaili F, Kargarnezhad-blackwells S. Artificial intelligence in dentistry, Unser wissen Publishinghttps, co. 2024.
89. Panahi O. Deep learning in diagnostics. J Medical Discoveries. 2025; 2:
90. Panahi O. Algorithmic medicine. Journal of Medical Discoveries. 2025; 2.
91. Panahi O. The future of healthcare: ai, public health and the digital revolution. Medi Clin Case Rep J. 2025; 3: 763-766.
92. Omid P. Artificial intelligence in oral implantology, its applications, impact and challenges. Adv Dent & Oral Health. 2024; 17: 555966.
93. Omid P. Relevance between gingival hyperplasia and leukemia. Int J Acad Res. 2021: 3: 493-494.
94. Panahi O. Teledentistry: expanding access to oral healthcare. J Dental Sci Res Reviews & Reports. J Dental Sci Res Rep. 2024; 6: 2-3.
95. Panahi O, Ezzati A. AI in dental-medicine: current applications & future directions. Open Access J Clin Images. 2025; 2: 1-5.
96. Panahi O, Borhani S. Smart dentistry: a comprehensive guide to artificial intelligence and robotics. 2026.
97. Panahi O. Predictive Health in communities: leveraging ai for early intervention and prevention. Ann Community Med Prim Health Care. 2025; 3: 1027.
98. Artificial intelligence in dentistry, NUESTRO CONOC, 2024 - Mento Publishing. ISBN
99. Panahi O, Esmaili DF, Kargarnezhad DS.Artificial intelligence in dentistry. Unser wissen Publishing. ISBN. 2024.
100. Panahi O. Dental pulp stem cells.
101. Panahi O, Arab MS, Tamson KM. Gingival enlargment and relevance with leukemia. Inter J Academic Research. 2011.
102. Panahi O, Eslamlou SF, Jabbarzadeh M. Digital dentistry and artificial intelligence. 2025.
103. Panahi DO, Dadkhah DS. Artificial intelligence in modern dentistry. 2025.
104. Panahi DO, Dadkhah DS. AI in modern dentistry. 2025.
105. Panahi O, Eslamlou SF, Jabbarzadeh M. Digital dentistry and artificial intelligence. 2025.
106. Panahi O, Esmaili DF, Kargarnezhad DS. Artificial intelligence in dentistry. SAPIENZA Publishing. ISBN. 2024.
107. Panahi DO, Dadkhah DS. AI in modern dentistry. 2025.
108. Panahi O, Eslamlou SF, Jabbarzadeh M. Digital dentistry and artificial intelligence. ISBN.
109. Panahi O, Panahi U. Application of machine learning and computer vision in oral surgery and implant outcome prediction. SunText Rev Dental Sci. 2026; 7: 192.
110. Panahi O, Panahi U. Computer-aided implant planning and placement using ai and machine learning: a general framework for surgical guidance. SunText Rev Med Clin Res. 2026; 7: 266.
111. Omid P, Uras P. Self-Learning ai implant with dynamic fibrointegration and real-time ligament tension adjustment: the world’s first closed-loop smart implant that moves like a natural tooth. J Surg Pract Case Rep. 2026; 2: 1-5.
112. Omid P, Uras P. AI-Designed, Fibrointegrated, Circumferential root ring implant: the first surgery that recreates the natural periodontal ligament without any human intraoperative decision. J Surg Pract Case Rep. 2026; 2: 1-5.
113. Farhadi S, Panahi U. A federated learning-based intrusion detection framework for zero-day attacks in smart healthcare networks integrating iomt devices. J Medicine Care and Health Review. 2026; 3:
114. Farhadi S, Panahi U, Blockchain-anchored adaptive authentication for real-time medical data streams in ai-driven smart grid-iomt converged networks. J Medicine Care and Health Review. 2026; 3:
115. Omid P, Uras P. The AIoT-Based remote care network: integrating smart implants and edge computing for post-operative monitoring in otolaryngology. Glob J Otolaryngol. 2026; 29: 556252.
116. Omid P, Uras P. AI-Driven optimization of cochlear implant fitting: machine learning models for personalized hearing rehabilitation. Glob J Otolaryngol, 2026; 29: 556253.
117. Panahi O. Dental pulp stem cells. Our Knowledge Publishing. 2021.
118. Thamson K, Panahi O. Challenges and opportunities for implementing ai in clinical trials. J Bio Adv Sci Research. 2025; 1: 1-08.
119.  Thamson K, Panahi O. Ethical considerations and future directions of ai in dental health care. J Bio Adv Sci Research. 2025.
120.  Thamson K, Panahi O. Bridging the gap: AI, data science, and evidence-based dentistry. J Bio Adv Sci Research. 2025.
121.  Thamson K, Panahi O. Bridging the gap: AI as a collaborative tool between clinicians and researchers. J Bio Adv Sci Research. 2025.
122. Panahi O, Dadkhah S. Transforming dental care: a comprehensive review of ai technologies. J Stoma Dent Res. 2025; 3: 1-5.
123. Panahi O. Predictive health in communities: leveraging ai for early intervention and prevention. Ann Community Med Prim Health Care. 2025; 3: 1028.
124. Gholizadeh M, Panahi O. Research system in health management information systems. Sciencia Scripts Publishing. 2021.
125. Gholizadeh M, Panahi O. Research system in healthcare management information systems. Sciencia Scripts Publishing. 2021.
126. Panahi O, Esmaili F, Kargarnezhad S. Artificial intelligence in dentistry. EDITION NOTRE SAVOIR Publishing. 2024.
127. Zarei S, Panahi DO, Bahador DN. Antibacterial activity of aqueous extract of eucalyptus camaldulensis against Vibrio harveyi (PTCC1755) and Vibrio alginolyticus (MK641453. 1) Saarbucken: LAP, 2019.
128. Panahi O, Farrokh S, Amirloo A. Robotics in implant dentistry: current status and future prospects. Scientific Archives of Dental Sciences 2025; 55-60.
129. Samira MRS, Zarei P, Omid DR. Eucalyptus camaldulensis extract as a preventive to the vibriosis. Scholars' Press. 2019.
130. Omid P. Empowering dental public health: leveraging artificial intelligence for improved oral healthcare access and outcomes. JOJ Pub Health. 2024; 9: 555754.
131. Panahi O, Gholizadeh M. Research system in healthcare management information systems. SCIENCIA SCRIPTS Publishing. 2021.
132. Panahi O. Smart implants: integrating sensors and data analytics for enhanced patient care. Dental. 2025; 7: 22.
133. Panahi O. Forging a healthier future through responsible ai in families and communities. Archives of Community and Family Medicine. 2025; 8: 21-30.
134. Omid P, Fatmanur KC. Nano technology, regenerative medicine and, tissue bio-engineering. 2023.
135. Panahi O, Esmaili DF, Kargarnezhad DS. Artificial intelligence in dentistry. Edition Notre Savoir Publishing. 2024.
136. Panahi O, Eslamlou SF. Periodontium: Structure. Function and Clinical Management.
137. Panahi O. Health in the age of ai: a family and community focus. Archives of Community and Family Medicine. 2025; 8: 11-20.
138. Panahi O, Shahbazpour Z. Healthcare reimagined: AI and the Future of Clinical Practice. Am J Biomed Sci & Res. 2025; 27:
139. Panahi O. Robotic surgery powered by ai: precision and automation in the operating room. SunText Rev Med Clin Res. 2025; 6: 225.
140. Omid Panahi. Smart Materials and Sensors: Integrating Technology into Dental Restorations for Real-Time Monitoring. J Dentistry and Oral Health. 2:
141. Koyuncu B, Ugur B, Panahi P. Indoor location determination by using RFIDs. Inter J Mobile and Adhoc Network (IJMAN). 2013; 3: 7-11.
142. Panahi U. Redes AD HOC: Applications, challenges, future directions. Nosso Conhecimento Editions. 2025.
143. Panahi O, Dehghan M. Multipath video transmission over ad hoc networks using layer coding and video caches. In ICEE2008, 16th Iranian Conference on Electrical Engineering. 2008; 50-55.
144. Panahi DU. HOC A Networks: Applications. Challenges, future directions. Scholars’ Press. 2025.
145. Panahi O, Esmaili F, Kargarnezhad S. Artificial Intelligence in Dentistry. Scholars Press Publishing. 2024.
146. Omid P. Relevance between gingival hyperplasia and leukemia. Int J Acad Res. 2011; 3: 493-49.
147. Panahi O. Secure IoT for healthcare. European J Innovative Studiesand Sustainability. 2025; 1: 1-5.
148. Panahi O. Deep Learning in Diagnostics. J Medical Discoveries. 2025; 2:
149. Omid P. Artificial intelligence in oral implantology, its applications, impact and challenges. Adv Dent & Oral Health. 2024; 17:
150. Panahi O. Teledentistry: expanding access to oral healthcare. J Dental Sci Res Reviews & Reports. 2024.
151. Omid P. Empowering dental public health: leveraging artificial intelligence for improved oral healthcare access and outcomes. JOJ Pub Health. 2024; 9: 555754.
152. Thamson K, Panahi O. Bridging the gap: ai as a collaborative tool between clinicians and researchers. J Bio Adv Sci Research. 2025; 1: 1-08.
153. Panahi O. Algorithmic medicine. J Medical Discoveries. 2025; 2:
154. Panahi O. The future of healthcare: ai, public health and the digital revolution. Medi Clin Case Rep J. 2025; 3: 763-766.
155. Thamson K, Panahi O. Challenges and opportunities for implementing ai in clinical trials. J Bio Adv Sci Research. 2025; 1: 1-08.
156. Thamson K, Panahi O. Ethical considerations and future directions of ai in dental healthcare. J Bio Adv Sci Research. 2025; 1: 1-07.
157. Thamson K, Panahi O. Bridging the gap: ai, data science, and evidence-based dentistry. J Bio Adv Sci Research. 2025; 1: 1-13.
158. Gholizadeh M, Panahi O. Research system in health management information systems. Sciencia Scripts Publishing. 2021.
159. Panahi O, Esmaili F, Kargarnezhad S. Artificial intelligence in dentistry. Edition Notre Savoir Publishing. ISBN, 2024.
160. Panahi O, Esmaili DF, Kargarnezhad DS. Artificial Intelligence in Dentistry. sciencia scripts Publishing. 2024.
161. Panahi O.AI-Powered IoT: Transforming diagnostics and treatment planning in oral implantology. J Adv ArtifIntell Mach Learn. 2025.
162. Panahi O, Eslamlou SF. Periodontium: structure. Function and Clinical Management.
163. Panahi O, Ezzati A. AI in dental-medicine: Current applications & future directions. Open Access J Clinical Images. 2025; 2: 1-5.
164. Panahi O, Dadkhah S. Mitigating aflatoxin contamination in grains: the importance of postharvest management practices. Advances in Biotechnology & Microbiology. 2025; 18:
165. Panahi O. Empowering dental public health: leveragin g artificial intelligence for improved oral healthcare access and outcomes. JOJ Pub Health. 2024.
166. Omid P, Fatmanur KC. Nano technology, regenerative medicine and, tissue bio-engineering. 2023.
167. Chaturvedi AK, Mbulaiteye SM, Engels EA. HPV-Associated Cancers in the United States Over the Last 15 Years: Has Screening or Vaccination Made Any Difference? The Oncologist. 7: 1130-1135.
168. Lalla RV, Saunders DP, Peterson DE. Chemotherapy or radiation-induced oral mucositis. Dental Clinics. 2014; 58: 341-349.
169. Vissink A, Jansma J, Spijkervet FK, et al. Oral sequelae of head and neck radiotherapy. Critical Reviews in Oral Biology & Medicine. 2003; 14: 199-212.
170. Peterson DE, Doerr W, Hovan A, Pinto A, Saunders D,Elting LS et al. Osteoradionecrosis in cancer patients: the evidence base for treatment-dependent frequency, current management strategies, and future studies. Supportive Care in Cancer. 2010; 18: 1089-1103.
171. Buglione M, Cavagnini R, Di Rosario F, et al. Oral toxicity management in head and neck cancer patients treated with chemotherapy and radiation: Xerostomia and trismus (Part 2). Literature review and consensus statement. Critical Reviews in Oncology/Hematology. 2016; 102: 47-54.
172. The american academy of oral medicine. Dental management of the oral complications of cancer treatment. AAOM Professional Resource. 2017.
173. Panahi O. The algorithmic healer: ai's impact on public health delivery. Medi Clin Case Rep J 2025; 3:759-762.
174. Panahi O. AI: a new frontier in oral and maxillofacial surgery. Acta Scientific Dental Sciences. 2024; 8: 40-42.
175. Panahi O, Falkner S. Telemedicine, ai, and the future of public health. Western J Med Sci & Res. 2025; 2: 102.
176. Panahi O, Esmaili DF, Kargarnezhad DS. Artificial intelligence in dentistry. Sciencia Scripts Publishing. 2024.
177. Esmaielzadeh DS, Panahi O, DFK Çay. Application of clay's in drug delivery in dental medicine. Scholars' Press. 2020.
178. Panahi O. Nano technology, regenerative medicine and tissue bio-engineering. Scholars' Press. 2019.
179. Panahi O, Dadkhah DS. AI in modern dentistry. 2025.
180. Panahi O, Esmaili DF, Kargarnezhad DS. Artificial intelligence in dentistry, OUR KNOWLEDGE. Mento Publishing. ISBN. 2024.
181. Panahi O, Esmaili DF, Kargarnezhad DS. Artificial intelligence in dentistry. SAPIENZA Publishing. ISBN. 2024.
182. Panahi O, Dadkhah DS. AI in Modern Dentistry. 2025.
183. Panahi O, Eslamlou SF. Artificial intelligence in oral surgery: enhancing diagnostics, treatment, and patient care. J Clin Den & Oral Care. 2025; 3: 01-05.
184. Omid P, Soren F. The digital double: data privacy, security, and consent in ai implants. Digit J Eng Sci Technol. 2025; 2: 105.
185. Panahi O. The role of artificial intelligence in shaping future health planning. Int J Health Policy Plann 2025; 4: 01-05.
186. Panahi O, Amirloo A. AI-enabled IT systems for improved dental practice management. On J Dent & Oral Health. 2025.
187. Panahi O. AI-Enhanced case reports: integrating medical imaging for diagnostic insights. J Case Rep Clin Images. 2025; 8: 1161.
188. Panahi O. Navigating the ai landscape in healthcare and public health. Mathews J Nurs. 2025; 7: 56.
189. Panahi O. Innovative biomaterials for sustainable medical implants: a circular economy approach. European J Innovative Studies and Sustainability. 2025; 1: 1-5.
190. Panahi O, Azarfardin A. Computer-Aided implant planning: utilizing ai for precise placement and predictable outcomes. J Dentistry and Oral Health.
191. Panahi O. The rising tide: artificial intelligence reshaping healthcare management. S J Publc Hlth. 2024; 1: 1-3.
192. Panahi O. AI in health policy: navigating implementation and ethical considerations. Int J Health Policy Plann. 2025; 4: 01-05.
193. Panahi O. Bridging the gap: ai-driven solutions for dental tissue regeneration. Austin J Dent. 2024; 11: 1185.
194. Panahi O, Zeinalddin M. The convergence of precision medicine and dentistry: an ai and robotics perspective. Austin J Dent. 2024; 11: 1186.
195. Omid P. Modern sinus lift techniques: aided by AI. Glob J Oto. 2024; 26: 556198.