Observational analysis shows improved diagnostic accuracy in dentistry, highlighting ethical concerns and regulations needed.
Artificial Intelligence (AI) is transforming the field of dentistry by improving diagnostic accuracy, customizing treatment approaches, and enhancing patient outcomes across diverse dental disciplines. AI-driven technologies, including machine learning and deep learning, are increasingly applied in areas such as radiographic interpretation, cavity detection, prosthodontics, periodontics, orthodontics, oral surgery, pathology, and pediatric dentistry to streamline clinical processes and boost effectiveness. However, the widespread implementation of AI faces challenges related to data security, algorithmic fairness, ethical issues, and a lack of comprehensive regulations. The future development of dentistry will involve integrating AI with advanced tools like augmented reality (AR) and virtual reality (VR) to enable more tailored and predictive dental care, while prioritizing openness and patient confidence. Achieving successful AI integration requires close cooperation among dental professionals, technology experts, and regulatory bodies to address ethical and legal concerns and foster responsible innovation for improved global oral health.
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Goyal et al. (2025) studied this question.
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