Shreya Kothari1*, Veenadevi Thonthula2, Valliammai Rajendran3, Aishwarya Dham4 and Hridya Jayaprakash5
1BDS, MPH, Ann Arbor, Michigan, USA
2BDS, General Dentist (India), Orchards Blvd SW, Edmonton, Alberta T6X1Y9
3MDS, Periodontist, Sri Karpaga Vinaayak Dental Clinic, Trichy, Tamil Nadu, India
4MDS, Senior Lecturer, Department of Periodontology, Hazaribagh College of Dental Sciences and Hospital, Demotand, Hazaribagh, India
5MDS, Periodontist, Clove Dental, Sholinganallur, Chennai, Tamil Nadu, India
*Corresponding Author: Shreya Kothari, BDS, MPH, Ann Arbor, Michigan, USA
Received: May 29, 2025; Published: June 20, 2025
AI-enhanced Cone-Beam Computed Tomography (CBCT) analysis is transforming dental 1study examines the revolutionary influence of AI algorithms combined with CBCT imaging, highlighting its capacity to automate anatomical landmark identification, assess bone quality and volume, forecast implant success, and tailor treatment strategies. AI-driven CBCT analysis enhances implant placement by diminishing operator reliance and eliminating diagnostic inaccuracies, resulting in a more efficient, objective, and tailored methodology. The review highlights that this technological convergence not only optimizes clinical workflows but also enhances patient safety and happiness, establishing AI as a crucial instrument in the future of implant dentistry.
Keywords:Artificial Intelligence, CBCT Analysis, Dental Implant
Citation: Shreya Kothari., et al. “Artificial Intelligence-Enabled CBCT Analysis: A Game-Changer for Dental Implant Optimization". Acta Scientific Dental Sciences 9.7 (2025): 15-17.
Copyright: © 2025 Shreya Kothari., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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