ISSN :2582-9793
Vini Mehta, Himanshu Chaurasia, Luca Fiorillo, Vishnu Obulareddy, Ankita Mathur, Aida Meto and A.K Anjali
Adv. Artif. Intell. Mach. Learn., 3 (4):1720-1727
Vini Mehta : Department of Dental Research Cell, Dr. D. Y. Patil Dental College and Hospital, Dr. D. Y. Patil Vidyapeeth, Pimpri, Pune 411018, India.
Himanshu Chaurasia : Department of Dental Research Cell, Dr. D.Y. Patil Dental College and Hospital, Dr. D.Y. Patil Vidyapeeth, Pimpri, Pune 411018, India
Luca Fiorillo : Department of Biomedical and Dental Sciences, Morphological and Functional Images, University of Messina, 98100 Messina, Italy.
Vishnu Obulareddy : S.V. Dental Clinic and Implant Centre, Hyderabad 500083, Telangana, India
Ankita Mathur : Department of Dental Research Cell, Dr. D.Y. Patil Dental College and Hospital, Dr. D.Y. Patil Vidyapeeth, Pimpri, Pune 411018, India
Aida Meto : Department of Dentistry, Faculty of Dental Sciences, University of Aldent, 1007 Tirana, Albania.
A.K Anjali : Department of Dental Research Cell, Dr. D.Y. Patil Dental College and Hospital, Dr. D.Y. Patil Vidyapeeth, Pimpri, Pune 411018, India
DOI: https://dx.doi.org/10.54364/AAIML.2023.1198
Article History: Received on: 07-Aug-23, Accepted on: 01-Dec-23, Published on: 25-Dec-23
Corresponding Author: Vini Mehta
Email: vini.mehta@statsense.in
Citation: Vini Mehta (2023). The Role and Impact of Artificial Intelligence on the Future of Dental Radiography - A Mini-Review. Adv. Artif. Intell. Mach. Learn., 3 (4 ):1720-1727
Artificial Intelligence (AI) has the potential to revolutionize dental radiography by improving diagnostic efficiency and accuracy. Dental radiography has recently benefited from the application of AI where it refers to the use of technology to enhance or speed up imaging data interpretation or to make duties easier with little to no dentist interaction. By providing a brief overview of AI's role in dental radiography, this review helps dental professionals understand how it can enhance their routine work and improve efficiency. The present paper reviews the current state of AI applications in dental radiography, identifying gaps in existing research, and exploring potential future development. AI has the potential to significantly improve dental radiography by automating and improving the interpretation process. However, there are many challenges such as the unavailability of high-quality datasets and standardized reporting formats. Future research in AI should focus on enhancing dataset quality, creating standardized reporting formats, resolving legal and ethical issues, and offering instructions and training to dental professionals.