Dental Imaging Analysis with Artificial Intelligence

Abstract: This paper explores the potential of deep learning in dental radiology, particularly in disease detection, image segmentation, and treatment planning. CNNs have been successful in diagnosing caries, periodontal disease, and oral cancer from radiographs and CBCT scans, while also automating dental structure segmentation. Key challenges include limited annotated data, model transparency, and generalizability. Ethical concerns like data privacy and bias are addressed, along with future developments such as advanced imaging integration, federated learning, and explainable AI, positioning deep learning to enhance diagnostic accuracy and personalized treatment in dental care. Keywords: Dental Radiology, Deep Learning, Treatment. Title: Dental Imaging Analysis with Artificial Intelligence Author: Shima Minoo, Fariba Ghasemi International Journal of Novel Research in Life Sciences ISSN 2394-966X Vol. 11, Issue 5, September 2024 - October 2024 Page No: 54-57 Novelty Journals Website: www.noveltyjournals.com Published Date: 21-October-2024 DOI: https://doi.org/10.5281/zenodo.13960025 Paper Download Link (Source) https://www.noveltyjournals.com/upload/paper/Dental%20Imaging%20Analysis-21102024-2.pdf