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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Artificial intelligence in implant dentistry |
| Authors Name: | Rahul B , WATHAM PRIYA , MUTUM SANGEETA DEVI , Surbala Devi |
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IJNRD_205908
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| Published Paper Id: | IJNRD2309332 |
| Published In: | Volume 8 Issue 9, September-2023 |
| DOI: | |
| Abstract: | 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. |
| Keywords: | Artificial intelligence AI in dentistry, Implant dentistry, Dental implants, implant Treatment planning, Implant Predictive modelling |
| Cite Article: | "Artificial intelligence in implant dentistry", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 9, page no.d276-d280, September-2023, Available :http://www.ijnrd.org/papers/IJNRD2309332.pdf |
| Downloads: | 000118763 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2309332 Registration ID: 205908 Published In: Volume 8 Issue 9, September-2023 DOI (Digital Object Identifier): Page No: d276-d280 Country: chennai, Tamil Nadu, India Research Area: Health Science Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2309332 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2309332 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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