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Quality of Large Language Model Responses to Radiation Oncology Patient Care Questions
88
Zitationen
8
Autoren
2024
Jahr
Abstract
In this cross-sectional study, the LLM generated accurate, comprehensive, and concise responses with minimal risk of harm, using language similar to human experts but at a higher reading level. These findings suggest the LLM's potential, with some retraining, as a valuable resource for patient queries in radiation oncology and other medical fields.
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