评估ChatGPT在细菌感染中的理论知识和处方准确性:与传染病住院医生和专家进行的比较研究
Andrea De Vito1,2, Nicholas Geremia3,4, Andrea Marino5
1Unit of Infectious Diseases, Department of Medicine, Surgery, and Pharmacy, University of Sassari, Sassari, Italy. andreadevitoaho@gmail.com.
聊天GPT在回答细菌感染的医疗问题方面表现有前途,但在复杂的临床病例和抗生素图解方面扎,突出了其在专家医疗决策方面的局限性.
科学领域:
- 医疗人工智能 医疗人工智能
- 传染性疾病 传染性疾病
- 细菌感染 细菌感染
背景情况:
- 像ChatGPT这样的人工智能 (AI) 平台在医学上越来越重要.
- 评估AI在医疗环境中的实用性对于理解其潜力和局限性至关重要.
研究的目的:
- 评估ChatGPT在回答有关细菌感染问题的有效性.
- 与传染病专家和住院医生相比,评估ChatGPT在基于抗生素表的临床病例中的表现.
主要方法:
- 专家们为四种感染类型创建了96个问题 (真假,开放式,使用抗生素的临床病例).
- 聊天GPT-4和训练版本与传染病居民和专家一起进行了测试.
- 答案被一个盲人小组评估,以确定准确性,完整性,抗药性机制的识别和抗生素的适当性.
主要成果:
- 聊天GPT-4和受过训练的聊天GPT-4提供了比人类专家更准确和更完整的答案.
- 聊天GPT-4在识别抗生素的抗药性机制方面表现较低的准确性.
- 两种ChatGPT版本都倾向于推更长的治疗时间和不太理想的抗生素.
结论:
- 聊天GPT在理论医学知识方面表现出能力,但在复杂的临床病例管理和抗生素分析方面存在局限性.
- 聊天GPT可以作为教育和传染病初步分析的支持工具.
- 专家咨询对于复杂的临床决策至关重要,因为人工智能不应该取代专业医疗判断.
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