Artificial Intelligence in Dental Implant Identification: A Comprehensive Overview | Chapter 4 | Medical Science: Trends and Innovations Vol. 7

Background: Dental implantology has significantly transformed the field of restorative dentistry, providing patients with long-term, functional, and aesthetic solutions for missing teeth. As the demand for implants increases globally, the need for effective and accurate implant fixture identification has become more crucial.

Aim: This review aims to explore the role of artificial intelligence (AI) in dental implant identification, focusing on its applications, benefits, and challenges in clinical practice. The study examines AI-driven tools and their impact on diagnostic accuracy, clinical decision-making, and treatment planning.

Methodology: A comprehensive literature review was conducted using Medline (PubMed) and Google Scholar databases in January 2025. The search targeted studies and reviews on AI applications in dental implant identification, analyzing technological advancements and their clinical implications. A total of 28 relevant articles were selected for assessment.

Results: AI-powered tools, such as Spotimplant.com, Implantif.ai, and AI2D, have demonstrated high accuracy in identifying dental implants from radiographic images. Studies have shown that AI-based systems can improve identification precision by up to 25% compared to traditional methods. These technologies streamline the identification process, reduce human error, and enhance treatment planning. However, challenges remain, including database limitations, difficulties in complex cases, and the need for regulatory compliance.

Conclusion: AI-driven implant identification offers significant advantages in improving diagnostic accuracy and clinical efficiency. While current AI tools present challenges related to data quality, regulatory frameworks, and integration into clinical workflows, ongoing advancements are expected to enhance their reliability and applicability. Future research should focus on expanding AI training datasets, optimizing deep learning models, and integrating AI into digital dental workflows for personalized treatment planning.

 

Author (s) Details

 

Hanen Boukhris
Department of Dental Medicine, University Hospital Farhat Hached Sousse, LR12SP10, University of Sousse, Tunisia.

 

Ghada Bouslama
Department of Dental Medicine, University Hospital Farhat Hached Sousse, LR12SP10, University of Sousse, Tunisia.

 

Hajer Zidani
Department of Dental Medicine, University Hospital Farhat Hached Sousse, LR12SP10, University of Sousse, Tunisia.

 

Kawther Bel Haj Salah
Department of Dental Medicine, University Hospital Farhat Hached Sousse, LR12SP10, University of Sousse, Tunisia.

 

Souha BenYoussef
Department of Dental Medicine, University Hospital Farhat Hached Sousse, LR12SP10, University of Sousse, Tunisia.

 

Please see the book here:- https://doi.org/10.9734/bpi/msti/v7/4409

Mastering Conversational AI: An In-depth Review of Recent Developments | Book Publisher International

Unlock the full potential of Conversational AI with this comprehensive review, designed for developers, conversation designers, product owners, project managers, software developers, data scientists, and anyone interested in harnessing the power of AI-driven chatbots. This book provides a step-by-step approach to mastering Conversational AI, from selecting the right AI assistant to developing engaging conversations and creating solid chatbots that can handle routine client inquiries. Discover how to train classifiers from scratch, how to build question/answer bots and then evaluate error frequency to build a plan. Learn how to get started with conversational AI, as well as how to create advanced chatbots that redefine the customer experience of businesses. Since the emergence of ChatGPT it is relevant to offer an introduction to Natural Language Processing (NLP) and machine learning (ML) assistance in code form. Discuss AI in SW development, and get useful tips to apply Conversational AI in the perceptive code programs. This book is recommended to all marketers, lawyers, doctors and teachers, software developers, business people and the common population interested in this new technology. Within the framework of this review, you will be ready to create conversational AI aids that function and change the existing interaction with clients and customers for the better.

 

Author (s) Details

 

Dr. Tiruveedula Gopi Krishna
Department of Computer Science and Engineering, College of Electrical Engineering and Computing, Adama Science and Technology University, Adama, Ethiopia.

 

Dr. Nune Srieenivas
Department of Computer Science and Engineering, College of Electrical Engineering and Computing, Adama Science and Technology University, Adama, Ethiopia.

 

Dr. Chandra Sekhar Reddy
Department of Electrical Power and Control Engineering, College of Electrical Engineering and Computing, Adama Science and Technology University, Adama, Ethiopia.

 

Dr. Teklu Urgessa Abebe
Department of Computer Science and Engineering, College of Electrical Engineering and Computing, Adama Science and Technology University, Adama, Ethiopia.

 

Dr. Davinder Sing Rathee
Department of Electronics and Communication Engineering, College of Electrical Engineering and Computing, Adama Science and Technology University, Adama, Ethiopia.

 

Dr. Mohamed Abdeldaiem Abdelhadi Mahboub
Department of Information Systems, Faculty of Information Technology, Tripoli University, Tripoli, Libya.

 

Please see the book here:- https://doi.org/10.9734/bpi/mono/978-93-49238-09-1