医学
可读性
双盲
皮肤病科
皮肤外科学
医学物理学
外科
病理
替代医学
语言学
哲学
安慰剂
作者
Michelle A. Robinson,Micah Belzberg,Sach Thakker,Kristin Bibee,Emily A. Merkel,Deborah F. MacFarlane,Jordan Lim,Jeffrey F. Scott,Min Deng,Jesse M. Lewin,David Soleymani,David Rosenfeld,Rosemarie Liu,Tin Yan Alvin Liu,Elise Ng
标识
DOI:10.1016/j.jaad.2024.01.037
摘要
Artificial intelligence chatbots, using large language model (LLM), have shown promise to transform health care. The potential for LLMs to provide useful information for patient care has gained particular attention in oncology and dermatologic surgery.1-3 This study compared the accuracy and utility of responses to common Mohs surgical questions generated by ChatGPT (OpenAI) and Google Bard (Google) to assess the current suitability of these widely utilized LLMs for patient education.
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