1 Department of Restorative dentistry, School of dentistry, Shahid Beheshti university of medical sciences, Tehran, Iran.
2 Department of Prosthodontic dentistry, School of Dentistry, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
3 Doctor of Dental Surgery, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran.
4 Department of Restorative Dentistry, School of dentistry, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
5 Department of Pediatric Dentistry, School of Dentistry, Islamic Azad University of Medical Sciences, Tehran, Iran.
Received on 29 July 2024; revised on 07 September 2024; accepted on 09 September 2024
Dental caries is a common oral health problem that affects people all over the world. Diagnosing and treating it may be quite difficult. In order to ensure successful treatment and prevent the development of serious infections, early identification is essential. Visual examination and radiographic imaging are two common examples of traditional diagnostic techniques that often fail to reliably detect early-stage caries and differentiate them from non-carious diseases. New developments in artificial intelligence (also known as AI have improved the accuracy and efficacy of caries detection, which presents practical options.
Artificial intelligence; Dental caries; Deep learning; Machine learning; Operative dentistry
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Bahar Bonakdar, Mahdi Akkafzadeh, Farbod Faghihinia, Leila Mohsenzade and Hale Zamani. Advancements in artificial intelligence algorithms for the detection of dental caries: A narrative review. World Journal of Biology Pharmacy and Health Sciences, 2024, 19(03), 198–204. Article DOI: https://doi.org/10.30574/wjbphs.2024.19.3.0608