L’impiego dell’intelligenza artificiale (IA) nella diagnosi del melanoma cutaneo

View at publisher
Authors: Ylenia Micca, Matteo Calegari, Helmut Beltraminelli
Cited by: 0

Abstract

Artificial intelligence (AI) is reshaping melanoma diagnosis through convolutional neural networks (CNNs), achieving accuracy comparable to, and sometimes exceeding, that of expert dermatologists. Prospective studies and systematic reviews highlight the benefits of Augmented Intelligence, combining algorithmic output with clinical judgment to enhance sensitivity and specificity. Nonetheless, important limitations persist, including dataset bias, underrepresentation of darker skin types, and insufficient external validation. Ethical, regulatory, and trust-related issues remain critical. Overall, AI represents a promising support tool in dermatology, but requires transparency, robust clinical validation, and specialist supervision to ensure safe and responsible integration into clinical practice.

Fields of Study & Subjects

Cutaneous Melanoma Detection and Management Artificial Intelligence in Healthcare and Education AI in cancer detection

Publication details

Journal / source
TMT Peer reviews
Volume
6
Issue
11-12
Publication date
7 January 2026