¹Clinical Quality and Value, American Academy of Orthopaedic Surgeons, Rosemont, USA, ²Department of Orthodontics and Dentofacial Orthopedics, Bhabha College of Dental Sciences, Bhopal, M.P., India, ³Department of Oral Pathology and Microbiology, Maitri College of Dentistry and Research Centre, Anjora, Durg, Chhattisgarh, India, ⁴Manipal College of Dental Sciences, Manipal, India, ⁵Department of Conservative Dentistry and Endodontics, Desh Bhagat Dental College and Hospital, Malout, India, ⁶Department of Oral Medicine and Radiology, Narsinbhai Patel Dental College and Hospital, Sankalchand Patel University, Visnagar, Gujarat, India, ⁷Department of Periodontology, Karnavati School of Dentistry Karnavati University, Gandhinagar, Gujarat, India, ⁸Department of Oral and Maxillofacial Pathology, Daswani Dental College and Research Center, Kota, Rajasthan, India;

A sizable percentage of the population in India still does not have easy access to dental facilities. Therefore, it is of interest to document the role of artificial intelligence (AI) in oral surveillance of underserved communities. Available data shows that AI makes it possible to screen, diagnose, track, prioritize, and monitor dental patients remotely via smart devices. As a result, dentists won't have to deal with simple situations that only require standard treatments; freeing them up to focus on more complicated cases. Additionally, this would allow dentists to reach a broader, more underprivileged population in difficult-to-reach places. AI fracture recognition and categorization performance has shown promise in preliminary testing. Methods for detecting aberrations are frequently employed in public health practise and research continues to be focused on them.

AI, oral surveillance, underserved communities