AI-Driven Decision Support Systems In Paediatric Dentistry

Abstract

Artificial intelligence (AI) is transforming paediatric dentistry by enhancing diagnostic accuracy, streamliningtreatment planning, and improving behaviour management.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. The ultimate ability to improve patient care and make precise diagnosesof illnesses has revolutionized the world of healthcare.

AI algorithms analyse 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.Paediatric dentistry benefits from various applications of artificial intelligence, and the aim of this systematic review was to evaluate the effectiveness of AI as a diagnostic tool in Pediatric Dentistry.