Hybrid CNN-transformer framework improves inferior alveolar nerve segmentation in dental scans

A new AI framework improves automatic segmentation of the inferior alveolar nerve in dental scans, potentially reducing surgical risks. The hybrid CNN-transformer model, built on nnU-Net, enhances accuracy in identifying the nerve's complex path in CBCT images, showing modest improvements over existing methods. This development aims to aid dental and maxillofacial surgeons by providing more reliable nerve identification, though further validation is suggested.