Artificial intelligence in implant dentistry

Registration ID: IJNRD_205908

Published ID: IJNRD2309332

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Rahul B, WATHAM PRIYA, MUTUM SANGEETA DEVI, Surbala Devi

Artificial intelligence AI in dentistry, Implant dentistry, Dental implants, implant Treatment planning, Implant Predictive modelling

Abstract: The field of dentistry has witnessed a paradigm shift in recent years with the integration of Artificial Intelligence (AI) into various aspects of dental practice. This abstract explores the burgeoning role of AI in implant dentistry, focusing on its applications in treatment planning and clinical outcomes. Implant dentistry, a critical subset of modern dentistry, involves the placement of dental implants to restore missing teeth and improve oral function and aesthetics. Historically, treatment planning in implant dentistry relied heavily on the clinician's expertise and experience, often leading to variable outcomes. AI-driven tools have emerged as invaluable aids in optimizing treatment planning. AI algorithms, powered by deep learning and computer vision, can process and analyze complex dental radiographs, cone-beam computed tomography (CBCT) scans, and intraoral scans with unprecedented precision. These technologies enable AI systems to assist dentists in identifying optimal implant placement locations, assessing bone density, and predicting potential complications. Moreover, AI can expedite the segmentation of anatomical structures, such as nerves and sinus cavities, ensuring safer implant procedures. AI-based treatment planning software also considers patient-specific factors, including bone quality, occlusion, and aesthetic preferences, to tailor implant placement strategies. These advancements enhance treatment predictability, reduce errors, and contribute to higher patient satisfaction. Beyond treatment planning, AI plays a pivotal role in real-time guidance during implant surgery. Robotic-assisted systems equipped with AI algorithms offer clinicians precise control and feedback, reducing the margin of error during implant placement. Furthermore, AI-driven monitoring can detect deviations from the planned implant trajectory and provide immediate adjustments, ensuring optimal implant positioning. Post-implantation, AI continues to influence patient management and follow-up care. AI-powered software can monitor the healing process, identify early signs of complications, and prompt timely interventions, leading to improved long-term implant success rates. In conclusion, Artificial Intelligence has emerged as a transformative force in implant dentistry. Its integration into treatment planning, surgical guidance, and post-operative care has significantly enhanced the precision, predictability, and overall quality of implant procedures. As AI technologies continue to evolve, the future of implant dentistry holds exciting prospects for further advancements, ultimately benefitting both clinicians and patients alike.

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Rahul B, WATHAM PRIYA, MUTUM SANGEETA DEVI, & Surbala Devi (September-2023). Artificial intelligence in implant dentistry. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(9), d276-d280. https://ijnrd.org/papers/IJNRD2309332.pdf

Volume 8 Issue 9, September-2023

Pages : d276-d280

Paper Reg. ID: IJNRD_205908

Published Paper Id: IJNRD2309332

Research Area: Health Science 

Author Type: Indian Author

Country: chennai, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2309332.pdf

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