Artificial intelligence in dental diagnosis: evaluating CNN models for caries and periapical lesions detection | Al-Sabri | Endodontics Today

Endodontics Today
Endodontija Today

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ISSN 1726-7242 (Online)

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Al-Sabri M., Alsabry A., Rajeh N., Alkherbash A., Alnozaily R., Sharhan E. Artificial intelligence in dental diagnosis: evaluating CNN models for caries and periapical lesions detection. Endodontics Today. 2026;24(1):176-187. https://doi.org/10.36377/ET-0174

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ISSN 1683-2981 (Print)
ISSN 1726-7242 (Online)

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About the Authors

M. Al-Sabri
Sana’a University
Yemen

Mohammed Al-Sabri – Department of Restorative and Esthetic Dentistry, Faculty of Dentistry

Sana’a, Yemen

A. Alsabry
International University of Technology Twintech
Yemen

Ayman Abduh Qaaed Mohammed Alsabry – Department of Computer Science

Sana’a, Yemen

N. Rajeh
Sana’a University
Yemen

Naibah Ali Yahya Rajeh – Department of Restorative and Esthetic Dentistry, Faculty of Dentistry

Sana’a, Yemen

A. Alkherbash
Sana’a University
Yemen

Arham Mohammed Abdulqawi Alkherbash – Department of Restorative and Esthetic Dentistry, Faculty of Dentistry

Sana’a, Yemen

R. Alnozaily
Sana’a University
Yemen

Raghda Ameen Alnozaily – Department of Restorative and Esthetic Dentistry, Faculty of Dentistry

Sana’a, Yemen

E. Sharhan
Sana’a University
Yemen

Ebtehal Mogahed Sharhan – Department of Restorative and Esthetic Dentistry, Faculty of Dentistry

Sana’a, Yemen

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