Artificial intelligence (AI) is already being used to diagnose skin cancer, but it cannot (yet) keep pace with the complex decision-making of doctors in practice. An international research team led by Harald Kittler of MedUni Vienna has now explored a learning method in which greater accuracy in AI results can be achieved by incorporating human decision-making criteria. In this way, the rate of correct skin cancer diagnoses made by dermatologists was improved by 12%. The study was published in Nature Medicine.
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