Assessing the accuracy of the GPT-4 model in multidisciplinary tumor board decision prediction
GPT-4 exhibited high compatibility with MTB decisions in cancer patient management, suggesting its potential as a supportive tool in clinical oncology. However, limitations exist, especially in rare or complex cases.
Authors
- Filiz Çay Şenler (ORCID: https://orcid.org/0000-0002-7156-4650)
- Mehmet Berk Örüncü (ORCID: https://orcid.org/0000-0002-2808-4897)
- Merih Yalçıner (ORCID: https://orcid.org/0000-0003-3337-2188)
- Yüksel Ürün (ORCID: https://orcid.org/0000-0002-9152-9887)
- Efe Cem Erdat (ORCID: https://orcid.org/0000-0002-1250-1297)
Institutions
- Ankara University (TR)
Publication Details
- Journal
- Clinical & Translational Oncology
- Published
- 2025-03-25
- DOI
- https://doi.org/10.1007/s12094-025-03905-1
- Citations
- 11
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 7.20