医学
可读性
前列腺癌
质量(理念)
医学物理学
癌症
内科学
计算机科学
哲学
认识论
程序设计语言
作者
H. A. Collin,Kandice Keogh,Marnique Basto,Stacy Loeb,Matthew J. Roberts
标识
DOI:10.1038/s41391-024-00864-6
摘要
Abstract Background/Objectives Patients often face uncertainty about what they should know after prostate cancer diagnosis. Web-based information is common but is at risk of being of poor quality or readability. Subjects/Methods We used ChatGPT, a freely available Artificial intelligence (AI) platform, to generate enquiries about prostate cancer that a newly diagnosed patient might ask and compared to Google search trends. Then, we evaluated ChatGPT responses to these questions for clinical appropriateness and quality using standardised tools. Results ChatGPT generates broad and representative questions, and provides understandable, clinically sound advice. Conclusions AI can guide and empower patients after prostate cancer diagnosis through education. However, the limitations of the ChatGPT language-model must not be ignored and require further evaluation and optimisation in the healthcare field.
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