Table 1_Application and performance of artificial intelligence-based models in the detection, segmentation and classification of periapical lesions: a systematic review.docx

Table 1_Application and performance of artificial intelligence-based models in the detection, segmentation and classification of periapical lesions: a systematic review.docx

Background<p>Periapical lesions appear as periapical radiolucency on various imaging modalities. The accuracy of dentists in diagnosing periapical radiolucency varies significantly. Recent scientific and technological advancements have enabled the development and evaluation of artificial intel...

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Bibliographic Details
Main Author: Ali Alaqla (22671818) (author)
Other Authors: Sanjeev B. Khanagar (22671821) (author), Alzahraa Ibrahim Albelaihi (22671824) (author), Oinam Gokulchandra Singh (22671827) (author), Abdulmohsen Alfadley (11824796) (author)
Published: 2025
Subjects:
Dentistry not elsewhere classified
artificial intelligence
apical
conditions
classification
detection
neural networks
periapical
lesions and segmentation
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