Artificial intelligence for skin lesion classification and diagnosis in dermatology: A narrative review
This narrative review highlights the crucial role of AI in dermatology, emphasizing its potential to enhance diagnostic accuracy for skin lesions.
Authors
- Nicolas Melo Sierra (ORCID: https://orcid.org/0009-0009-4824-6572)
- Mariam Rolón (ORCID: https://orcid.org/0000-0003-0322-3042)
- Diana Marcela Díaz-Quijano (ORCID: https://orcid.org/0000-0001-8804-0274)
- Erwin Hernando Hernández Rincón (ORCID: https://orcid.org/0000-0002-7189-5863)
- Alejandro Rueda-Rodríguez (ORCID: https://orcid.org/0000-0001-8335-4370)
- Samuel Barbosa (ORCID: https://orcid.org/0000-0002-8443-1670)
- Paula Andrea Ramos Chaparro (ORCID: https://orcid.org/0009-0003-0269-291X)
- Gabriela Alejandra Osorio Betancourt (ORCID: https://orcid.org/0009-0005-6611-9244)
Institutions
- Universitat Oberta de Catalunya (ES)
- Universidad de La Sabana (CO)
- Fundación Santa Fe de Bogotá (CO)
Publication Details
- Journal
- Medwave
- Published
- 2025-11-20
- DOI
- https://doi.org/10.5867/medwave.2025.10.3120
- Primary Topic
- Cutaneous Melanoma Detection and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Universidad de La Sabana