Using clinical images in DL systems may improve skin cancer detection by providing a more inclusive representation of real-world lesions. DenseNet models outperformed others in binary ...

LONDON - A researcher at a Scottish university has developed AI tools that could give people in remote areas worldwide access to fast and potentially life-saving skin cancer diagnoses, reported PA ...

A researcher at Heriot-Watt University is harnessing the power of artificial intelligence to give patients living in remote ...

A new dual-modal, non-invasive detection technique could make it easier—and faster—to differentiate between melanoma skin cancer and benign lesions. The combination of optical coherence ...

British tech company Skin Analytics has received regulatory approval for an AI skin cancer detection system that uses a smartphone. Spotting skin cancer in the early stages leads to very high ...

In this study, researchers used machine learning and combination theory to distil 22 clinical features down to the seven most important that predict if a skin lesion might be suspicious or not.