Artificial Intelligence, Large Language Models, and Digital Health in the Management of Alcohol-Associated Liver Disease

IF 2.9 3区 医学 Q2 GASTROENTEROLOGY & HEPATOLOGY
Neeraj Bhala DPhil, MSc, FRCP, FRCPE , Vijay H. Shah MD
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引用次数: 0
人工智能、大型语言模型和数字健康在酒精相关肝病管理中的应用。
人工智能 (AI) 有助于酒精相关性肝病 (ALD) 的诊断和管理。机器学习算法可以分析医疗数据,如患者记录和成像结果,以识别模式并预测疾病进展。大语言模型(LLMs)等新技术可以加强对酒精相关性肝病等慢性病患者的早期检测和个性化治疗策略。然而,必须负责任地整合 LLMs 和其他人工智能工具,考虑医疗应用中的伦理问题,并确保现有知识在现实世界中的应用有证据基础。
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来源期刊
Clinics in liver disease
Clinics in liver disease GASTROENTEROLOGY & HEPATOLOGY-
CiteScore
5.30
自引率
0.00%
发文量
79
审稿时长
>12 weeks
期刊介绍: A perfect source to consult for those in the fields of gastroenterology and hepatology, Clinics in Liver Disease provides answers to clinical questions, information on the latest diagnostic methods and treatments, and numerous clinical images. Published quarterly—in February, May, August, and November—each issue offers in-depth reviews that focus on the liver and biliary system.
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