Systematic review examines AI detection of MB2 canals in maxillary first molars, suggesting improved diagnostic consistency and validation through multicenter studies.
AI, particularly deep learning, shows promise in detecting MB2 canals on CBCT. While current evidence is preliminary, standardised AI training and reporting protocols, together with larger multicenter studies, are needed to validate these tools. Clinically, AI could serve as a supplementary aid to improve diagnostic consistency and reduce missed canals during endodontic treatment.
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Dashti et al. (2025) studied this question.
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