Evaluating Large Language Models for Melanocytic Lesion Pathology Report Interpretation
The authors declare no conflicts of interest. The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.
Authors
- Szabolcs Bozsányi (ORCID: https://orcid.org/0000-0002-1391-419X)
- Zahidul Islam (ORCID: https://orcid.org/0009-0001-5522-9668)
- Mehdi Boostani (ORCID: https://orcid.org/0000-0001-9728-1117)
- Alicia Goldenberg
- Joshua Arbesman (ORCID: https://orcid.org/0000-0002-6601-7580)
- György Paragh (ORCID: https://orcid.org/0000-0002-6612-9267)
- Sasha Severin
- Wendy Huss
- Lana Salloum
Institutions
- Roswell Park Comprehensive Cancer Center (US)
- Albert Einstein College of Medicine (US)
- Cleveland Clinic (US)
- New York Medical College (US)
Publication Details
- Journal
- Journal of Cutaneous Pathology
- Published
- 2026-06-25
- DOI
- https://doi.org/10.1111/cup.70121
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Roswell Park Cancer Institute
- Roswell Park Alliance Foundation, Roswell Park Cancer Institute