BP International: 3D imaging

Monday, 14 April 2025

Advanced Digital Technologies and their Implications in Oral Surgery: Latest Trends and Innovations | Chapter 4 | Medical Science: Recent Advances and Applications Vol. 1

Aim: This chapter aims to explore the integration of digital technologies in oral surgery, examining their impact on diagnosis, treatment planning, surgical execution, and overall patient experience. It focuses on the adoption of intraoral scanners, 3D imaging technologies, and computer-aided design and manufacturing systems, with a specific look at how these tools are transforming clinical workflows and surgical outcomes.

Methodology: A comprehensive review of current literature and case reports was conducted to evaluate the clinical applications of digital tools in oral surgery. This includes the use of intraoral scanners, cone-beam computed tomography (CBCT), 3D virtual surgical planning, augmented reality, and artificial intelligence. Additionally, the development and use of 3D-printed surgical guides and custom implants were explored to assess their efficacy in improving surgical precision and reducing complications.

Results: The integration of digital technologies into oral surgery has resulted in significant advancements in the accuracy and efficiency of procedures. The use of intraoral scanners and CBCT allows for the creation of highly detailed 3D virtual models of a patient's oral anatomy, enabling precise pre-operative planning. Virtual simulations of surgical procedures help identify potential risks and improve decision-making. The employment of 3D-printed surgical guides has enhanced surgical precision, minimizing tissue damage. Moreover, augmented reality tools have facilitated real-time visualization during surgery, further improving accuracy. These advancements have been associated with improved patient outcomes, including reduced post-operative pain, swelling, and recovery time due to the shift toward minimally invasive techniques.

Conclusions: Digital technologies have significantly transformed oral surgery, enhancing both the precision of surgical procedures and the overall patient experience. The integration of these technologies offers numerous advantages, including improved diagnosis, customized surgical planning, and the ability to perform minimally invasive surgeries. However, the adoption of these innovations also presents challenges, including the need for specialized training and the high costs associated with new technologies. Continued advancements in artificial intelligence, robotics, and augmented reality hold promise for further elevating the capabilities of oral surgery.

Author (s) Details

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

Hanen Boukhris
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.

Lamia Walha
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/msraa/v1/4917

Wednesday, 19 February 2025

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.