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临床医学中的生成人工智能以及对胃肠道学的影响

Ali Soroush¹, Mauro Giuffrè², Sunny Chung²

¹Division of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, New York; Henry D. Janowitz Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, New York; Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.

Gastroenterology

|April 17, 2025

概括

生成型人工智能 (genAI) 通过整合多样化的数据,正在改变医疗保健,特别是胃肠病学. 虽然对管理和信息任务有希望,但genAI需要验证复杂的临床决策.

科学领域:

医疗保健技术医疗保健技术医疗保健技术
医学中的人工智能
胃肠病学和肝病学胃肠学和肝病学

背景情况:

人工智能 (AI) 在医疗保健中的整合正在加速,这是由生成性AI (genAI) 进展所推动的.
胃肠病学和肝病学正在转变,因为genAI能够处理多模式数据 (视频,成像,文本).

研究的目的:

探索生成AI (genAI) 对胃肠病学和肝病学临床工作流程的影响.
评估genAI在临床经验范围内的当前和潜在应用.

主要方法:

审查目前的证据和genAI在医疗保健环境中的应用.
与传统机器学习相比,genAI的灵活性和多任务能力的分析.

主要成果:

基因人工智能 (GenAI) 在行政任务 (文档,计费,安排) 和信息任务 (患者教育,文献总结) 中显示出最初的好处.
目前没有证据支持genAI在诊断和治疗决策中进行复杂的临床推理.
挑战包括输出可靠性,数据隐私和集成,提出的解决方案包括验证和人类-AI合作.

结论:

GenAI具有显著的潜力,可以增加胃肠病学和肝病学方面的临床专业知识.
适应多式联运数据和用户友好的界面,促进 genAI 集成.
人与算法的交互和临床医生的定制可以增强患者的护理和人类的存在.

关键词:

人工智能安全 AI 安全胃肠病学胃肠病学生成型的人工智能人类AI协作合作

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