在妇科瘤学中,人工智能驱动的手术报告的简化:患者教育的潜在工具
Maximilian Riedel1, Bastian Meyer1, Raphael Kfuri Rubens2,3,4
1Department of Gynecology and Obstetrics, TUM University Hospital, Technical University Munich (TU), Munich, Germany.
Acta obstetricia et gynecologica Scandinavica
|May 14, 2025
概括
生成式预训练变压器4 (GPT-4) 可以简化手术报告,以便患者更好地了解手术程序和结果. 然而,临床专家警告说,人工智能生成的报告可能缺乏医学准确性,需要仔细监督.
科学领域:
- 人工智能在医学中的应用
- 自然语言处理自然语言处理.
- 医学瘤学 医学瘤学
背景情况:
- 大型语言模型 (LLM) 显示了增强医疗保健的潜力,特别是在瘤学领域.
- 生成性预训练转换器4 (GPT-4) 是最近的LLM,能够处理和生成类似人类的文本.
- 简化复杂的医疗信息对于有效的患者教育和参与至关重要.
研究的目的:
- 评估GPT-4能够将妇科外科报告转换为患者友好的语言的能力.
- 评估使用人工智能生成的简化报告用于患者教育的潜力,局限性和风险.
- 为了比较患者的理解和专家对原始与人工智能简化的外科报告的评估.
主要方法:
- 使用GPT-4简化了20份妇科外科报告.
- 患者收到了原始和简化的报告,以及用于比较的问卷.
- 临床专家评估了人工智能生成的简化报告的准确性和质量.
主要成果:
- GPT-4简化报告显著改善了患者对程序,结果和风险的理解.
- 患者发现人工智能生成的报告更容易获得和更相关.
- 临床专家对简化报告的医学准确性表示担忧.
结论:
- 像GPT-4这样的LLM可以提高手术报告的清晰度,改善患者教育.
- 严格监督至关重要,以确保AI在患者沟通中安全整合.
- 人工智能生成的简化医疗记录对自动化术后护理和出院系统具有前景.
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