人工智能,大型语言模型和数字健康在与酒精相关的肝脏疾病管理中的作用
1Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55904, USA; Nottingham Digestive Diseases Centre, Translational Medical Sciences, NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham School of Medicine, Queens Medical Centre, University of Nottingham, Nottingham NG7 2UH, UK.
人工智能 (AI) 可以帮助诊断和管理与酒精有关的肝病 (ALD). 先进的人工智能,包括大型语言模型 (LLM),为早期检测和个性化治疗提供了潜力,但需要负责任的整合.
科学领域:
- 肝病学和数字健康
背景情况:
- 与酒精相关的肝病 (ALD) 构成了严重的健康负担.
- 目前对ALD的诊断和管理策略可以得到改进.
研究的目的:
- 探索人工智能 (AI) 在协助ALD的诊断和管理方面的潜力.
- 突出机器学习 (ML) 和大型语言模型 (LLM) 在ALD护理中的作用.
主要方法:
- 分析医疗数据,包括患者记录和成像,使用ML算法.
- 利用LLM来加强早期检测和个性化治疗策略.
主要成果:
- 人工智能和机器学习可以识别模式,并预测ALD的疾病进展.
- 在改善早期检测和为ALD等慢性疾病量身定制治疗方面,LLM显得有前途.
结论:
- 人工智能,特别是LLM,为ALD诊断和管理提供了变革的潜力.
- 人工智能在医疗保健中的负责任整合需要解决伦理问题,并为现实世界的应用建立一个证据基础.
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