Deep Learning-Based Oral Cancer Detection Using Clinical Images.

A deep learning model using transfer learning achieved approximately 95% accuracy in detecting oral cancer from clinical photographs, with 94% sensitivity and 95% specificity on a test dataset of 750 oral lesion images. The model showed strong discriminative performance but requires further clinical validation before clinical use.

A plain-English summary of the study's own findings — we don't add our own claims or interpretation. Read the full paper for the complete methods and results, and apply your own clinical judgement.