人工智能在炎症性肠道疾病的管理中:下一步是什么?
Anthony J Bilotta1, Jennifer A Trebilcock1, Nicholas J Hebda1
1Department of Medicine, UMass Chan Medical School, Worcester, MA 01655, United States.
人工智能 (AI) 通过提高诊断准确性和效率,为管理炎症性肠病 (IBD) 提供了新的方法. 在IBD中的人工智能应用范围从自动评估到预测模型,解决当前的临床挑战.
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:
- 炎症性肠病 (IBD) 是一种慢性自身免疫性疾病,需要复杂的管理.
- 目前的诊断和评估方法 (内镜,活检,成像) 昂贵,耗时,主观.
- 在IBD护理中需要标准化和高效的方法.
研究的目的:
- 审查人工智能 (AI) 应用在IBD管理方面的最新进展.
- 讨论人工智能在改善IBD诊断准确性和治疗决策方面的潜力.
- 探索在临床IBD实践中实施AI的实际和伦理考虑.
主要方法:
- 对IBD中的AI当前文献的综述.
- 对人工智能应用的分析,包括自动化内镜和组织学评估.
- 在非侵入性成像分析和预测模型的生物标志物发现中探索AI.
- 在患者管理中讨论人工智能驱动的聊天机器人.
主要成果:
- 人工智能在自动化IBD内镜和组织学评估方面显示出潜力.
- 人工智能有助于分析非侵入性成像和发现用于疾病预测的生物标志物.
- 像聊天机器人这样的AI工具正在出现,用于IBD患者的参与和管理.
- 在过去的十年中,IBD的AI应用取得了显著进展.
结论:
- 人工智能为提高IBD诊断和管理的效率和标准化提供了有希望的解决方案.
- 需要进一步的研究和开发,以克服在IBD中广泛采用AI的实际和伦理挑战.
- 人工智能有可能通过为临床医生提供客观和高效的工具来彻底改变IBD护理.
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