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Showing 1–3 of 3 results
Advanced filters: Author: Markus Thamm Clear advanced filters
  • Artificial intelligence (AI) system is known to improve dermatologists’ diagnostic accuracy for melanoma. This group applies the eye-tracking technology on dermatologists when diagnosing dermoscopic images of melanomas and reports improved balanced diagnostic accuracy when using an X(explainable) AI system comparing to the standard one.

    • Tirtha Chanda
    • Sarah Haggenmueller
    • Titus J. Brinker
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-10
  • Artificial intelligence has become popular as a cancer classification tool, but there is distrust of such systems due to their lack of transparency. Here, the authors develop an explainable AI system which produces text- and region-based explanations alongside its classifications which was assessed using clinicians’ diagnostic accuracy, diagnostic confidence, and their trust in the system.

    • Tirtha Chanda
    • Katja Hauser
    • Titus J. Brinker
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-17