Oral Health and Dental Management

Revolutionizing Dental Imaging: A Comprehensive Study on the Integration of Artificial Intelligence in Dental and Maxillofacial Radiology

18^th World Congress on Dental Health

September 22-23, 2025 | London, UK

Aishwarya Padmanabhan

Sri Ramakrishna Dental College, India

Scientific Tracks Abstracts: OHDM

Abstract:

Recent advancements in deep learning and artificial intelligence (AI) have profoundly impacted various f ields, including diagnostic imaging. Integrating AI technologies such as deep learning and convolutio nal neural networks has the potential to drastically improve diagnostic methods in the field of dentist ry and maxillofacial radiography. A systematic study that adhered to Preferred Reporting Items for Sys tematic Reviews and Meta-Analyses (PRISMA) stan dards was carried out to examine the efficacy and uses of AI in dentistry and maxillofacial radiography. Incorporating cohort studies, case-control studies, and randomized clinical trials, the study used an interdisciplinary methodology. A thorough search spanning peer-reviewed research papers from 2009 to 2023 was done in databases including MEDLINE/ PubMed and EMBASE. The inclusion criteria were original clinical research in English that employed AI models to recognize anatomical components in oral and maxillofacial pictures, identify anomalies, and diagnose disorders. The study looked at nume rous research that used cutting-edge technology to show how accurate and dependable dental imaging is. Among the tasks covered by these investigations were age estimation, periapical lesion detection, segmentation of maxillary structures, assessment of dentofacial abnormalities, and segmentation of the mandibular canal. The study revealed important developments in the precise definition of anatomical structures and the identification of diseases. The use of AI technology in dental imaging marks a re volutionary development that will usher in a time of unmatched accuracy and effectiveness. These tech nologies have not only improved diagnostic accu racy and enabled early disease detection but have also streamlined intricate procedures, significantly enhancing patient outcomes. The symbiotic collabo ration between human expertise and machine intel ligence promises a future of more sophisticated and empathetic oral healthcare.

Biography :

Dr. Aishwarya Padmanabhan is a dedicated academic and researcher at Sri Ramakrishna Dental College, India. She specializes in dental and maxillofacial radiology with a strong focus on emerging imaging technologies. Her research centers on the integration of artificial intelligence to enhance diagnostic accuracy. Dr. Padmanabhan has contribut ed to multiple studies exploring AI-driven radiological innovations. She is passionate about bridging clinical practice with cutting-edge digital advancements. She regularly participates in national and international forums to share her research insights. Her work aims to revolutionize dental imaging and promote more efficient, patient-centered diagnostics.