Pediatric Dentistry and Artificial Intelligence – A Review

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Abishek CB, Daya Srinivasan, Asvitha Babu, Pragadesh Ganesh

Abstract

Artificial intelligence (AI) has revolutionized pediatric dentistry by enhancing diagnostic accuracy, personalizing treatment, and improving patient management. AI seeks to address problems and acquire knowledge in ways that resemble human thought. The field of AI has experienced remarkable growth and development over the past two decades, partly due to advances in digital data collection, machine learning, and computing infrastructure. AI in dentistry is a rapidly expanding area of research and development and has the potential to significantly enhance patient care and drive major advances in healthcare. Advances in AI technology have the potential to offer significant healthcare benefits such as reducing postoperative complications, improving quality of life, and reducing the number of unnecessary procedures. AI algorithms analyze dental images and historical data, enabling the early detection of dental issues and customized care plans tailored to individual patient needs. Predictive analytics assists in identifying potential problems before they arise and promotes preventive care. Additionally, AI facilitates tele dentistry, allowing remote consultations that expand access for underserved populations. Behavioural management tools engage young patients through interactive applications, making dental visits less intimidating. Despite these advancements, challenges, such as data privacy, integration into practice, and the need for professional training must be addressed. Overall, AI holds significant promise for improving outcomes and promoting better oral health in children.

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