Benchmarking ChatGPT-4 on a radiation oncology in-training exam and Red Journal Gray Zone cases: potentials and challenges for ai-assisted medical education and decision making in radiation oncology

PURPOSE: The potential of large language models in medicine for education and decision-making purposes has been demonstrated as they have achieved decent scores on medical exams such as the United States Medical Licensing Exam (USMLE) and the MedQA exam. This work aims to evaluate the performance of...

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Detalles Bibliográficos
Autores principales: Huang, Yixing, Gomaa, Ahmed, Semrau, Sabine, Haderlein, Marlen, Lettmaier, Sebastian, Weissmann, Thomas, Grigo, Johanna, Tkhayat, Hassen Ben, Frey, Benjamin, Gaipl, Udo, Distel, Luitpold, Maier, Andreas, Fietkau, Rainer, Bert, Christoph, Putz, Florian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543650/
https://www.ncbi.nlm.nih.gov/pubmed/37790756
http://dx.doi.org/10.3389/fonc.2023.1265024

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543650/
https://www.ncbi.nlm.nih.gov/pubmed/37790756
http://dx.doi.org/10.3389/fonc.2023.1265024

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