Chat GPT Performance in Multi-Disciplinary Boards—Should AI Be a Member of Cancer Boards?
AI demonstrates substantial agreement with MDT decisions, particularly in cases adhering to standardized oncological guidelines. However, for AI integration into clinical workflows, it must evolve to interpret real-time patient data and function transparently within ethical and legal frameworks.
Authors
- İbrahim Doğan (ORCID: https://orcid.org/0000-0001-7413-1837)
- Halil Alper Bozkurt (ORCID: https://orcid.org/0000-0002-6002-4069)
- Mehmet Yüksek (ORCID: https://orcid.org/0000-0002-3164-7267)
- Ezgi Dicle Serbes (ORCID: https://orcid.org/0000-0003-2739-6124)
- Mehmet Kadir Bartın (ORCID: https://orcid.org/0000-0003-0648-861X)
- Sebahattin Çelik (ORCID: https://orcid.org/0000-0003-0300-0113)
- Ezgi Sonmez
- Erdogan Seyran
- Gunel Zalova
Institutions
- Education Training And Research (US)
- Sağlık Bilimleri Üniversitesi (TR)
- University of Health Sciences Antigua (AG)
Publication Details
- Journal
- Healthcare
- Published
- 2025-09-09
- DOI
- https://doi.org/10.3390/healthcare13182254
- Citations
- 4
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 2.62