根据临床病例报告,ChatGPT的使用有助于诊断青光眼
Mohammad Delsoz1, Hina Raja1, Yeganeh Madadi1
1Department of Ophthalmology, Hamilton Eye Institute, University of Tennessee Health Science Center, 930 Madison Ave., Suite 471, Memphis, TN, 38163, USA.
Ophthalmology and therapy
|September 14, 2023
概括
像ChatGPT这样的大型语言模型在诊断青光眼病例时,表现出与高级眼科医生住院医生的准确性相似或更高. 这表明人工智能在临床眼科护理中的潜力,用于诊断和分类.
科学领域:
- 眼科医生 眼科 眼科
- 人工智能在医学中的应用
- 医学诊断 医学诊断 医学诊断
背景情况:
- 青光眼的诊断依赖于专家的临床评估.
- 评估人工智能 (AI) 工具用于医学诊断至关重要.
- 大型语言模型 (LLM) 在处理临床信息方面表现有前途.
研究的目的:
- 评估ChatGPT在青光眼病例中的诊断能力.
- 为了比较ChatGPT的诊断性能与高级眼科住院医生.
主要方法:
- 分析了11个青光眼病例报告 (主要和次要).
- 聊天GPT为每个病例提供了临时和差异诊断.
- 三名高级眼科医生也诊断出了同样的病例.
主要成果:
- 在诊断青光眼病例时,ChatGPT的准确率达到了72.7%.
- 眼科住院人员的准确率分别为54.5%,72.7%和72.7%.
- 聊天GPT与住户的诊断协议范围从7到9个案例.
结论:
- 查特GPT诊断青光瘤的准确性与高级住院医生的准确性相似或超过.
- 在眼科中,LLM显示出临床应用的潜力,包括分拣和诊断.
- 进一步开发可以将人工智能工具整合到初级保健和眼科诊所,以有效评估患者.
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