人工智能在胃病中的作用
Eun Jeong Gong1, Jieun Woo2, Jae Jun Lee2
1Department of Internal Medicine, Hallym University College of Medicine, Chuncheon 24253, Gangwon-do, South Korea.
World journal of gastroenterology
|September 30, 2025
概括
胃肠病学中的人工智能 (AI) 表明,中等专业知识的从业者从胃病诊断和管理的AI工具中获益最多. 专家和新手看到的收益较少,这表明AI在临床环境中的微妙影响.
科学领域:
- 胃肠病学 胃肠病学
- 医疗人工智能 医疗人工智能
- 临床决策支持 临床决策支持
背景情况:
- 人工智能 (AI) 在胃肠病学方面已经从简单的检测到复杂的多式联络系统进行了实时临床决策支持.
- 该领域正在从专业的深度学习模型过渡到用于胃病诊断和管理的多功能大型语言模型.
研究的目的:
- 审查当前在胃病诊断和管理中的人工智能应用.
- 分析AI有效性与用户专业知识之间的关系.
- 讨论胃肠病学新兴人工智能技术的潜力和挑战.
主要方法:
- 对人工智能应用的审查,包括胃肠病学中的深度学习和大型语言模型.
- 开发和验证用于病变检测和分类的临床决策支持系统.
- 分析多式联络数据集成 (图像,临床病史,实验室,基因组学).
主要成果:
- 人工智能的有效性与用户的专业知识相反;中度专业知识的从业者显示出最多的好处.
- 一个开发的临床决策支持系统实现了96%的内部病变检测和82%-87%的外部分类准确度.
- 多模式人工智能集成有助于全面的疾病评估和个性化治疗策略.
结论:
- 人工智能在胃肠病学中提供了巨大的潜力,特别是对于中等专业知识的用户,但挑战仍然存在.
- 新兴的人工智能技术,如大型语言模型和智能眼镜,提供了新的机会,但需要仔细实施.
- 解决数据偏差,监管问题,伦理问题以及确保人类临床判断对于成功的AI集成至关重要.
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