系统性审查:人工智能的使用和未满足的需要在异性食道炎中
Ester Castagnaro1, Enrico Felici2, Roberta Spaccapelo3
1Department of Medicine and Surgery, University of Perugia, Perugia, Italy.
Alimentary pharmacology & therapeutics
|June 6, 2025
概括
人工智能 (AI) 显示在治疗异性食道炎 (EoE) 方面具有前景,有助于诊断和预后. 需要进一步的研究来验证人工智能工具,并应对更广泛的临床使用的实施挑战.
科学领域:
- 医疗信息学 医疗信息学
- 胃肠病学 胃肠病学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 在性食道炎 (EoE) 的应用正在增加.
- 目前AI在EdE管理中的临床影响和范围尚不清楚.
研究的目的:
- 在EoE诊断,预后,精准医学和随访中系统地审查AI应用.
- 为了确定研究差距和未满足的需求在AI为EoE.
主要方法:
- 系统性审查对EoE中AI研究的研究.
- 在MEDLINE,Embase和Embase Classic中搜索到2025年2月.
- 包括临床试验,队列,病例控制,横截面和病例系列研究.
主要成果:
- 确定了28项关于EoE人工智能的研究,18项专注于诊断 (组织学和内镜图像分析).
- 人工智能在非侵入性诊断模型中表现出高准确度,并有可能预测预后 (食物影响,严重程度,纤维化).
- 人工智能被用于精密医学,用于生物标志物发现,内型预测和治疗个性化,以及疾病监测.
结论:
- 人工智能显示出改进EdE管理的潜力,但需要在更大,潜在的队列中进行验证.
- 对于临床实施,必须解决算法偏见,数据隐私,可解释性和监管问题等挑战.
- 未来的研究应优先考虑儿童群体的非侵入性诊断,治疗反应预测和加强疾病监测.
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