International Journal of Drug Delivery Technology
Volume 16, Issue 7s

Evaluation of an AI-Driven Robotic Arm System for Real-Time Dental Implant Placement: Sub-Millimeter Accuracy, Surgical Efficiency, and Six-Month Osseointegration Outcomes Compared with Traditional Techniques

Anupa Samanta1*, Silpiranjan Mishra2, Shyam Sundar Behura3, Sandeep Mohanty4

1*Tutor, Department of Oral Medicine and Radiology, Kalinga Institute of Dental Sciences, Kalinga Institute of Industrial Technology (Deemed to be University), Bhubaneswar, Odisha, India

(Corresponding Author)
2Professor, Department of Oral Medicine and Radiology, Kalinga Institute of Dental Sciences, Kalinga Institute of Industrial Technology (Deemed to be University), Bhubaneswar, Odisha, India
3Professor, Department of Oral and Maxillofacial Pathology, Kalinga Institute of Dental Sciences, Kalinga Institute of Industrial Technology (Deemed to be University), Bhubaneswar, Odisha, India
4Assistant Professor, Department of Oral Medicine and Radiology, Kalinga Institute of Dental Sciences, Kalinga Institute of Industrial Technology (Deemed to be University), Bhubaneswar, Odisha, India

ABSTRACT

Background: The combination of artificial intelligence (AI) and robotic arm systems is a new paradigm of the artificial implant dentistry, as it is expected to be more precise, less time-saving, and better clinical results. Nonetheless, there is a dearth of future clinical data on comparing the use of AI-based robotic implant placement to the traditional freehand methods.

Objective: To compare the precision, operation efficiency, and six-months of the outcomes of the AI-driven robotic arm system in placing dental implants in real-time versus traditional freehand dental implant placement using the cone-beam computed tomography (CBCT) data.

Materials and Methods: It was a prospective comparative study that recruited 50 patients who needed single dental implantation. The patients were randomly divided into two groups: AI-robotic group (n=25) and the conventional freehand group (n=25). CBCT superimposition was used to measure three-dimensional differences (coronal, apical, angular) between planned and actual positions of implants. The surgical time, implant stability quotient (ISQ) values, marginal bone loss, and the rate of osseointegration measured at six months time were taken and compared.

Results: The mean coronal deviation (0.41±0.18 mm vs. 1.23±0.34 mm, p<0.001) and apical deviation (0.53±0.21 mm vs. 1.48±0.41 mm, p<0.001) and angular deviation (1.12±0.42 vs. 3.67±1.15, p<0.001) was significantly lower in the AI-robotic group. The robotic group showed a decrease in the mean time spent on surgery (18.6% less, 22.4±4.1 min vs. 27.5±5.3 min, p=0.001). The rate of six months osseointegration was 100 percent of the robotic group and 96 percent of the conventional group. The robotic group was also better in terms of ISQ values and marginal bone loss.

Conclusion: AI controlled robotic arm systems are sub-millimeter accurate in the dental implant positioning with extensive time savings and equivalent or better 6-month clay of the site results than conventional freehand methods.

Keywords: artificial intelligence; robotic implant surgery; dental implant accuracy; CBCT; osseointegration; computer-guided surgery

How to cite this article: Samanta A, Mishra S, Behura SS, Mohanty S, Evaluation of an AI-Driven Robotic Arm System for Real-Time Dental Implant Placement: Sub-Millimeter Accuracy, Surgical Efficiency, and Six-Month Osseointegration Outcomes Compared with Traditional Techniques. Int J Drug Deliv Technol. 2026;16(7s): 35-41; DOI: 10.25258/ijddt.16.7s.6

Source of support: Nil

Conflict of interest: None