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Abstract

This article is featured as a recipient of a 2024 AADEJ-ADEAGies Foundation Editorial Award. It explores the growing presence of Generative Artificial Intelligence (AI) in everyday life and its specific implications for dentistry. While AI shows great promise in improving diagnostic accuracy in dentistry, the author cautions that it is not without limitations and potential mistakes, such as overfitting, lack of contextual information, limited data diversity, false positives/negatives, inadequate training data, and sensitivity to image quality. The piece stresses that AI should augment, not replace, dental professionals, serving as a supportive aid rather than a definitive diagnostic tool. Key benefits include improved diagnostics, customized treatment plans, and patient engagement, but these come with challenges like data privacy and security, the need for diagnostic accuracy validation, legal and ethical dilemmas (accountability for medical decisions), workforce training needs, and evidence-based issues (AI may provide non-existent references). The author demonstrates this by revealing that 50% of the initial references provided by ChatGPT for parts of the article did not exist upon verification, underscoring the critical need to consult reliable, authoritative sources.

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