Title

In vitro evaluation of AI-assisted CBCT analysis for detecting additional canals in mandibular premolars

Authors

Jasmine Marwaha¹, Nehali Thakkar*², Bassam Alkhalifah³, Arindam Banik⁴, Nilesh Dinesh Pardhe⁵ & Mohammed Mustafa⁶

Affiliation

¹Department of Conservative Dentistry and Endodontics, National Dental College and Hospital, Mohali-140507, India; ²Department of Conservative Dentistry and Endodontics, Pacific Dental College and Research Centre, Udaipur, Rajasthan; ³Department of Radiology, College of Medicine, Qassim University, Buraydah, Saudi Arabia; ⁴Department of Conservative Dentistry and Endodontics, Guru Nanak Institute of Dental Sciences and Research, Kolkata, West Bengal, India; ⁵Department of Oral Pathology, ESIC Dental College & Hospital, Kalaburagi, Karnataka, India; ⁶Department of Conservative Dental Sciences, College of Dentistry, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia; *Corresponding author

Email

Jasmine Marwaha - E-mail: drjasminemarwaha@gmail.com
Nehali Thakkar - E-mail: nehalithakkar373@gmail.com
Bassam Alkhalifah - E-mail: b.alkhalifah@qu.edu.sa
Arindam Banik - E-mail: arindambanik.1993@gmail.com
Nilesh Dinesh Pardhe - E-mail: drpardhenilesh@gmail.com
Mohammed Mustafa - E-mail: ma.mustafa@psau.edu.sa

Article Type

Research Article

Date

Received November 15, 2025; Revised December 15, 2025; Accepted December 15, 2025, Published December 15, 2025

Abstract

Failure to detect additional canals in mandibular premolars can compromise endodontic treatment outcomes. Hence, this in vitro study compared an artificial intelligence-assisted CBCT analysis system with endodontic specialists for detecting additional canals, using micro-CT as the gold standard. One hundred and fifty mandibular premolars were analyzed. The AI system demonstrated higher sensitivity (86.8%) and accuracy (90.0%) than specialists, with comparable specificity and interpretation time of less than three seconds per case. Thus, AI-based CBCT analysis appears to be a rapid and reliable adjunct for improved canal detection and preoperative endodontic planning.

Keywords

Artificial intelligence, cone-beam computed tomography, mandibular premolars, root canal anatomy, deep learning, endodontics, micro-CT

Citation

Marwaha et al. Bioinformation 21(12): 4922-4928 (2025)

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.