Artificial Intelligence for early detection of Oral Squamous Cell Carcinoma: A Systematic Review.

Researchers systematized evidence from 42 studies on artificial intelligence methods for detecting oral squamous cell carcinoma and related conditions, finding that convolutional neural networks applied to histopathology images and clinical photographs were most common, though standardized multi-centre validation is needed 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.