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Objective This article provides a review to identify the concerns of Artificial Intelligence (A.I.) and machine learning (ML) in dentistry, thus highlighting the broader insight into ethical standards required for good machine learning practice as part of patient care. Materials and methods Researchers conducted an in-depth review in MEDLINE/PubMed and GoogleScholar for papers published in the English language in the last ten years. Results Out of 2541 eligible papers, 42 articles have information for meaningful assessments. Study methodologies include Artificial Intelligence and articles applied to dental technologies. Conclusions The use of A.I. and ML has a significant impact on the dental profession. The constant evolution of digital technologies creates unforeseen challenges in the bio-ethical areas. including but not limited to anonymity, informed consent, privacy, and security. Clinical significance The constraints of A.I. application in dentistry with a comprehensive perspective on evaluating it from a technical and a clinical point of view are often overlooked. Key aspects addressed are verifiability of A.I. applications, explicit formalization of policies to demystify technical, and ethical challenges for safe, and democratized use of A.I. in dentistry.
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Saudagar et al. (2021) studied this question.
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