Artificial Intelligence in melanoma research: a bibliometric analysis
AI in melanoma research has exploded since 2017. It is recommended that future research focus on various datasets, explainable AI, and cross-disciplinary cooperation to promote the transformation of achievements into clinical practice.
Authors
- Xiaolou Huang
- Qipeng Guo (ORCID: https://orcid.org/0000-0001-7113-651X)
- Fang Chen (ORCID: https://orcid.org/0000-0003-1466-4230)
- Yongjun Guo (ORCID: https://orcid.org/0000-0003-1641-2969)
- Yanli Sun (ORCID: https://orcid.org/0000-0003-3144-5558)
- Jiafu Ma
- Yuting Lv (ORCID: https://orcid.org/0000-0002-0076-1913)
- Tiantian Yang (ORCID: https://orcid.org/0000-0002-0148-396X)
Institutions
- Guiyang College of Traditional Chinese Medicine (CN)
- Fujian University of Traditional Chinese Medicine (CN)
- Shandong University of Traditional Chinese Medicine (CN)
- Beijing University of Chinese Medicine (CN)
- Guizhou University (CN)
- People's Liberation Army 401 Hospital (CN)
- Affiliated Hospital of Guizhou Medical University (CN)
- Shandong Provincial Hospital (CN)
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine (CN)
- Beijing Hospital of Traditional Chinese Medicine (CN)
- Jinan City People's Hospital (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2025-11-11
- DOI
- https://doi.org/10.1097/js9.0000000000003879
- Primary Topic
- Cutaneous Melanoma Detection and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00