Artificial Intelligence in Dermatopathology: New Insights and Perspectives
Open accessAbstract
In recent years, an increasing enthusiasm has been observed towards artificial intelligence and machine learning, involving different areas of medicine. Among these, although still in the embryonic stage, the dermatopathological field has also been partially involved, with the attempt to develop and train algorithms that could assist the pathologist in the differential diagnosis of complex melanocytic lesions. In this article, we face this new challenge of the modern era, carry out a review of the literature regarding the state of the art and try to determine promising future perspectives.
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- Authors
- Cazzato, G., Colagrande, A., Cimmino, A., Arezzo, F., Loizzi, V., Caporusso, C., Marangio, M., Foti, C., Romita, P., Lospalluti, L., Mazzotta, F., Cicco, S., Cormio, G., Lettini, T., Resta, L., Vacca, A., & Ingravallo, G.
- Affiliations
- University of Bari Aldo Moro (IT)
- University of Salento (IT)
- Pediatric Dermatology and Surgery Outpatients Department, Azienda Sanitaria Locale Barletta-Andria-Trani, 76123 Andria, Italy
- Corresponding author
- Cazzato, Gerardo
- Ingravallo, Giuseppe
- ORCID
- Venue
- Dermatopathology
- Publisher
- MDPI AG
- Published
- 2021-09-01
- Volume
- 8
- Issue
- 3
- Pages
- 418-425
- ISSN
- 2296-3529 (ISSN-L)
- PMC
- PMC8482082
- OpenAlex
- W3197925629
- Cited by
- 37
- References
- 21
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 10 · 2023: 6 · 2022: 10
- FWCI
- 2.30
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Dermatopathology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- artificial intelligence, machine learning, melanocytic lesions, differential diagnosis, computer-aided diagnosis, skin cancer
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