1Lecturer, Department of Pediatric and Preventive Dentistry, MM College of Dental Sciences & Research, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, Haryana, India
2Principal, Professor And Head, Department of Conservative Dentistry And Endodontic, Maharaja Ganga Singh Dental College And Research Centre, Sriganganagar, Rajasthan, India
3Associate Professor, Department of Conservative Dentistry And Endodontic, Pacific Dental College And Hospital, Debari, Udaipur, Rajasthan
*Corresponding Author: Dr. Devanshe Chaudhary, Lecturer, Department of Pediatric and Preventive Dentistry, MM College of Dental Sciences & Research, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, Haryana, India, Mail – chaudharydevanshe98@gmail.com
Artificial Intelligence (AI) have proved to be highly beneficial in the analysis of root canal anatomy, detecting periapical lesions in early stages as well as providing accurate working-length determination. Moreover, they seem to be effective in predicting the treatment success next to identifying various conditions e.g., dental caries, pulpal inflammation, vertical root fractures, and expression of second opinions for non-surgical root canal treatments. Furthermore, AI has demonstrated an exceptional ability to recognize landmarks and lesions in cone-beam computed tomography scans with consistently high precision rates. While AI has significantly promoted the accuracy and efficiency of endodontic procedures, it is of high importance to continue validating the reliability and practicality of AI for possible widespread integration into daily clinical practice. Additionally, ethical considerations related to patient privacy, data security, and potential bias should be carefully examined to ensure the ethical and responsible implementation of AI in endodontics.
Artificial Neural Networks, Deep Learning, Diagnostic Precision, Endodontics, Convolutional Neural Networks
