期刊
RADIOTHERAPY AND ONCOLOGY
卷 190, 期 -, 页码 -出版社
ELSEVIER IRELAND LTD
DOI: 10.1016/j.radonc.2023.109978
关键词
Toxicity; ChatGPT; Machine Learning
This study examines the use of GPT-4 in monitoring radiation toxicity during prostate cancer treatments. Two methods, summarization and chatbot interface, were tested. Radiation oncologists surveyed preferred the summarization method for its accuracy and potential for adoption, and both methods saved time.
This study explores using GPT-4 for radiation toxicity monitoring in prostate cancer treatments. Two methods were tested: a summarization method and a chatbot interface. Surveyed radiation oncologists preferred the summarization method for its accuracy and potential for adoption (median rating 8 vs 4, p =.002). Both methods saved time.
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