Clinical decision-making for uveal melanoma radiotherapy: comparative performance of experienced radiation oncologists and leading generative AI models
These findings suggest that advanced generative AI can exceed expert-level performance in certain aspects of radiotherapy decision-making for uveal melanoma. Although AI may expedite clinical workflows and offer highly accurate guidance, human judgment remains indispensable for nuanced patient care.
Authors
- Xing Wang (ORCID: https://orcid.org/0000-0003-4313-6381)
- Peng Wang (ORCID: https://orcid.org/0000-0003-4666-9706)
Institutions
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-08-14
- DOI
- https://doi.org/10.3389/fonc.2025.1605916
- Primary Topic
- Ocular Oncology and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Chongqing
- Centre Scientifique et Technique du Bâtiment