人工智能在埃索诺菲尔性食道炎中的应用
Xiaoming Xu1, Hualei Chen1, Yun Chen2
1Department of Gastroenterology, Jining No. 1 People's Hospital, Jining, China.
Frontiers in immunology
|November 26, 2025
概括
人工智能 (AI) 在治疗埃索诺菲尔性食道炎 (EoE) 方面表现有前途. 人工智能改善了诊断,治疗预测和个性化护理,尽管解释性和验证方面的挑战仍然存在.
科学领域:
- 胃肠病学 胃肠病学
- 医疗信息学 医疗信息学
背景情况:
- 性食道炎 (EoE) 是一种慢性免疫介导的食道疾病.
- 目前的EoE管理依赖于内镜和组织病理学评估,这可能具有观察者之间的变化.
研究的目的:
- 审查人工智能 (AI) 在性食道炎 (EoE) 管理中的潜在应用和挑战.
- 突出AI在提高诊断准确性,治疗预测和个人化医疗方法方面的作用.
主要方法:
- 在EoE中对AI应用的文献综述.
- 分析AI在内镜和组织病理学分析中的表现.
- 讨论AI在识别生物标志物和预测治疗反应方面的潜力.
主要成果:
- 人工智能在诊断任务中表现出与非专家相比的或更高的性能.
- 人工智能有助于标准化 EoE 评估 (例如,EREFS,EoEHSS).
- 人工智能通过识别分子表型和预测治疗结果来促进精准医学.
结论:
- 人工智能为改善EoE诊断,管理和治疗个性化提供了巨大的潜力.
- 解决诸如可解释性 (XAI),在不同的队列中验证和监管批准等挑战对于AI集成至关重要.
- 未来的研究应该专注于儿科患者群体,非侵入性监测和集成的人工智能平台,以提供主动的EoE护理.
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