Knowledge, attitude, and perception/practice towards artificial intelligence among dental students and dental professionals - a systematic review

Abstract

Artificial intelligence (AI) is a broad term encompassing advanced technologies that aim to mimic human intelligence in computer hardware and software, achieving human-level performance. By studying the attitudes and practices of dental professionals and students, we can better integrate AI into the dental field. Hence, the aim is to examine the knowledge, attitudes, and perceptions/practices towards AI among dental students and dental professionals. This study protocol was based on preferred reporting items for overviews of reviews (PRIOR) guidelines. A broad electronic search was carried out in the following databases, such as PubMed, Scopus, Google Scholar, Cochrane database of systematic reviews, and Trip database to find related studies and a total of 28 articles were selected for the systematic review. In this review, the average knowledge percentage among dental students was around 56.9, while dental professionals demonstrated a higher average percentage of 66.42. 82% of postgraduate students showed greater openness to integrating AI at an advanced level of dental education. The review suggests a way for dental students and dental professionals to improve their artificial intelligence understanding and skills.

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