AI helps detect melanoma from skin images ^{CEFR B1}

Researchers at the University of Missouri explored how artificial intelligence could help detect melanoma, the most dangerous form of skin cancer, by evaluating images of suspicious skin abnormalities. The project aims to support faster identification of cases that may need closer medical attention and earlier treatment.

The tool is designed to support clinicians rather than replace them. It could be especially useful for patients who have limited access to dermatologists. The team trained and tested AI models on a large database of images taken with three-dimensional total body photography, which creates a detailed map of a patient’s skin.

The researchers compared three models and found each reached high accuracy on its own. When they combined the models, performance improved further. The authors say more varied training images and clearer explanations of how AI reaches conclusions should help professionals trust and use the technology in clinical decision-making.