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Updated: Jun 24, 2026

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Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images
Published on: February 23, 2024
Artificial Intelligence Versus Human Expertise in Implant Treatment Planning: A Retrospective Cone-Beam Computed
Priyanka Jadhav1, Shruthi P2, Shveta Jain3
1Department of Prosthodontics, Bharati Vidyapeeth (Deemed to be University) Dental College and Hospital, Sangli, IND.
Cureus
|June 23, 2026
Summary
Artificial intelligence (AI) significantly improves dental implant treatment planning accuracy and efficiency compared to manual methods. AI reduces planning time and deviations, enhancing clinician confidence for better patient outcomes.
Area of Science:
- Dentistry
- Medical Imaging
- Artificial Intelligence
Background:
- Accurate dental implant treatment planning is crucial for optimal functional and esthetic results.
- Digital technologies and AI are increasingly integrated into clinical decision-making.
- Limited evidence exists comparing AI-assisted planning to conventional manual methods.
Purpose of the Study:
- To compare the accuracy, efficiency, and reliability of AI-assisted implant treatment planning versus manual assessment.
- To evaluate deviations in bone height, width, angular, and linear measurements.
- To assess planning time and clinician confidence.
Main Methods:
- Retrospective cross-sectional study of 30 cone-beam computed tomography (CBCT) scans.
- AI-assisted planning (Simplant Pro) and manual assessment by a blinded clinician were performed.
- Post-surgical radiographs served as reference standards; statistical analyses included paired t-tests and Wilcoxon signed-rank tests.
Main Results:
- AI showed significantly lower angular (1.90° vs 3.99°) and linear deviations (0.43 mm vs 1.01 mm) (p<0.0001).
- AI planning time was significantly reduced (8.5 min vs 21.4 min) with higher clinician confidence (82.1 vs 68.9) (p<0.001).
- Excellent agreement (ICC>0.80) was found between AI and manual bone measurements.
Conclusions:
- AI-assisted implant planning offers superior accuracy, efficiency, and consistency compared to manual methods.
- AI serves as a reliable adjunct for enhancing clinical decision-making and optimizing treatment outcomes.
- AI integration in implantology promises improved precision and patient results.
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