Predicting sentinel lymph node metastasis in melanoma patients: A machine learning-based predictive model
This study established a robust and interpretable machine learning approach for melanoma SLN metastasis prediction. With high sensitivity and accuracy, this approach could reduce misdiagnosis rates and alleviate patient suffering.
Authors
- Weinan Guo (ORCID: https://orcid.org/0000-0002-3517-3898)
- Tianwen Gao (ORCID: https://orcid.org/0000-0002-8621-8611)
- Yu Liu (ORCID: https://orcid.org/0000-0002-7694-2454)
- Shida Zhang (ORCID: https://orcid.org/0000-0002-9926-6321)
- Chunying Li (ORCID: https://orcid.org/0000-0003-3004-5376)
- Hanbin Wang
- Hengxiang Zhang
Institutions
- Xijing Hospital (CN)
- Air Force Medical University (CN)
Publication Details
- Journal
- JAAD International
- Published
- 2025-10-09
- DOI
- https://doi.org/10.1016/j.jdin.2025.09.012
- Primary Topic
- Cutaneous Melanoma Detection and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00