人工智能在刺激性肠综合征管理中的潜在应用
Radu Alexandru Vulpoi1,2, Mihaela Luca3, Adrian Ciobanu3
1Faculty of Medicine, Department of Internal Medicine, University of Medicine and Pharmacy "Grigore T. Popa", 700111 Iasi, Romania.
人工智能 (AI) 为刺激性肠综合征 (IBS) 的诊断和管理提供了有希望的解决方案. 在结肠镜检查,生物膜分析和症状监测中的AI应用可以改善患者护理并降低医疗保健成本.
科学领域:
- 胃肠病学 胃肠病学
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 刺激性肠综合征 (IBS) 影响全球4.1%,影响生活质量和增加医疗保健费用.
- 目前的诊断依赖于罗马四号标准,但患者经常接受广泛的调查.
- 像人工智能 (AI) 这样的新技术可能会简化IBS诊断和管理.
研究的目的:
- 审查人工智能 (AI) 在刺激性肠综合征 (IBS) 的诊断和治疗中的当前和新兴应用.
主要方法:
- 对IBS人工智能应用的文献综述,包括人工智能辅助结肠镜,生物膜分析,肠声相关性,通过智能手机应用程序监测症状,以及人工智能驱动的饮食建议.
- 分析AI在改善IBS诊断准确性和治疗策略方面的潜在作用.
主要成果:
- 人工智能在结肠镜检查期间检测有机病变和评估手术质量的实用性.
- 人工智能有助于研究大肠生物膜特征及其与IBS的潜在联系.
- 人工智能算法将肠道声音与IBS相关联,人工智能驱动的应用程序促进症状跟踪.
- 人工智能系统可以根据个体微生物群推个性化的饮食.
结论:
- 人工智能集成具有显著的潜力,可以提高IBS诊断的准确性.
- 人工智能驱动的工具可能会为IBS患者提供更个性化,更有效的治疗干预措施.
- 人工智能的未来进展预计将有利于刺激性肠综合征的诊断和治疗.
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