AI04: A Novel Machine Learning Software Application for Prognosticating Cutaneous Malignant Melanoma Based on Data from 78,351 Patients from the Surveillance, Epidemiology, and End Results (SEER) Database

    June 2025 in “ British Journal of Dermatology ”
    Mohamed Mortagy, Nikita Cliff-Patel, Alina Bologan, Regina Askary
    Studysummary This study found that an ML model incorporating factors like Breslow thickness and age improved cutaneous malignant melanoma prognosis predictions compared to TNM staging, with a C-index of 80% versus 66.6% for TNM alone, suggesting ML's potential for personalized prognostication.
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