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Skin cancer diagnosis using AI technology could be as accurate as clinical specialist

October 29, 2019

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New clinical data published in Journal of American Medical Association (JAMA) demonstrates first-in-class AI algorithm is able to diagnose skin cancer with a high-level of accuracy comparable to a clinical specialist.

The study, which is the first of its kind to explore the use of AI in dermatology, was led by the Royal Free London NHS Trust to evaluate the clinical assessment of over 1500 skin lesions in a real-world setting at seven different hospitals.

The prospective, diagnostic trial saw DERM, the AI platform created by Skin Analytics, correctly identified all malignant lesions (100% sensitivity) with an average AUROC of 95.8% with 65% specificity versus 70% specificity and a 77% AUROC score demonstrated by the clinical experts.

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