Deep Learning for Real-Time Monitoring of Dental Procedures

Abstract

This paper investigates the application of deep learning techniques for real-time monitoring and feedback during dental procedures. The use of deep learning in dentistry has shown promise in improving the efficiency and accuracy of various tasks, including image analysis and diagnostic decision-making. Real-time monitoring during dental procedures can enhance the quality of care provided to patients by enabling immediate feedback to practitioners, leading to better treatment outcomes and patient satisfaction. This research explores the current state of deep learning applications in dentistry, highlights the challenges and opportunities for real-time monitoring, and proposes future directions for research in this field.