ARTIFICIAL INTELLIGENCE IN ENDODONTICS

Dr. Maitri Sharma*, Dr. Nishant Kumar, Dr. Ashok Sharma

Artificial Intelligence (AI) is rapidly transforming healthcare and dentistry by improving diagnostic accuracy, treatment planning, and clinical decision-making. In endodontics, AI technologies such as machine learning (ML), deep learning (DL), artificial neural networks (ANNs), and convolutional neural networks (CNNs) have shown promising applications in disease detection, radiographic interpretation, root canal morphology assessment, working length determination, retreatment prediction, and regenerative procedures. AI systems can analyze large datasets with high precision and identify minute radiographic changes that may be overlooked by clinicians. Studies have demonstrated high accuracy rates in detecting periapical lesions, vertical root fractures, carious lesions, and pulpal diseases using CBCT and radiographic images. AI also enhances restorative dentistry by improving caries detection and restoration planning. Although AI cannot replace the expertise of dental professionals, it serves as a valuable adjunct that enhances efficiency, consistency, and treatment outcomes. This review highlights the working principles of AI, its major subdomains, and its current and future applications in endodontics and restorative dentistry, emphasizing its growing role in modern dental practice.