Prospective Evidence on Artificial Intelligence−Assisted Melanoma Diagnostics: A Systematic Review and

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Malignant melanoma is aggressive, making early detection crucial for improving patient outcomes.
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Dermoscopy enhances diagnostic accuracy for melanoma compared to visual inspection but relies on clinician experience.
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AI systems, particularly CNNs, show promise in automating dermoscopic image analysis and may exceed expert dermatologists' performance.
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This systematic review focuses on prospective studies to evaluate AI's diagnostic performance in melanoma detection.
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The study aims to inform clinical readiness for AI in melanoma diagnostics and identify areas needing further validation.

Jama Dermatology

by Sara Laiouar-Pedari, Arlene Kühn, Christoph Wies, Carina Nogueira Garcia, Jana Therés Winterstein, Lukas Heinlein, Annemarie Hoffsommer, Tirtha Chanda, Sarah Haggenmüller, Titus J. Brinker
May 1, 2026

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