聊天GPT-3.5作为泌尿学选系统的能力
Christopher Hirtsiefer1, Tim Nestler2, Johanna Eckrich3
1Klinik und Poliklinik für Urologie, Universitätsklinikum Carl Gustav Carus Dresden, Dresden, Germany.
European urology open science
|November 18, 2024
概括
像ChatGPT-3.5这样的生成人工智能 (AI) 在分类泌尿病方面表现有前途,提供与指南一致的建议. 然而,为了整合患者护理,信息质量的改善是必要的.
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 患者经常难以对症状进行分类,延迟了医疗护理.
- 35-75%的患者在专业咨询之前在网上寻找健康信息.
- 生成型人工智能,如ChatGPT-3.5,是一个新兴的在线信息来源.
研究的目的:
- 评估ChatGPT-3.5在分类急性泌尿病的作用.
- 解决AI在泌尿病症状评估中的研究缺口.
- 评估AI在泌尿病差异诊断和治疗建议中的准确性和准则合规性.
主要方法:
- 评估了ChatGPT-3.5用于泌尿器官差异诊断 (DD) 和行动方案 (CoA) 建议.
- 作为查询,使用了来自患者论坛的472个简单描述,用于6种急性泌尿病状况.
- 根据欧洲泌尿病学协会 (EAU) 的指导方针和DISCERN信息质量调查问卷对AI输出的评估.
主要成果:
- 聊天GPT-3.5在DD和CoA方面获得了4/5的中位数,在整体信息质量方面获得了3/5的中位数.
- 英语输出对DD和CoA的中位数评分高于德国输出.
- 信息质量分析显示,在来源指示,风险评估和生活质量影响方面表现不佳.
结论:
- 聊天GPT-3.5展示了作为分拣系统的潜力,提供与指南一致的建议.
- 风险评估和来源透明度方面的缺陷需要解决,以提高可靠性.
- 在将人工智能整合到患者护理中之前,需要进一步提高质量和透明度,特别是在英语人口中.
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