人工智能在促进炎症性肠病管理方面:制定新的标准
Nunzia Labarile1, Alessandro Vitello2,3, Emanuele Sinagra4
1Department of Gastroenterology, National Institute of Gastroenterology-IRCCS "Saverio de Bellis"-Castellana Grotte, 70013 Bari, Italy.
Cancers
|July 29, 2025
概括
人工智能 (AI) 通过准确评估疾病活动和预测结果,在改善炎症性肠病 (IBD) 护理方面表现有前途. 为了广泛的临床使用,需要进一步验证.
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:
- 人工智能 (AI) 越来越多地被用于提高炎症性肠病 (IBD) 的诊断和管理.
- 在IBD内镜中的人工智能应用正在迅速发展,影响临床实践.
研究的目的:
- 在IBD内镜中对AI应用进行叙事审查.
- 专注于人工智能在诊断,疾病活动评估,治疗预测和发育不良检测方面的作用.
主要方法:
- 在IBD内镜中对AI应用的文献综述.
- 对评估人工智能用于诊断,疾病活性,治疗反应和发育不良检测的研究进行分析.
主要成果:
- 人工智能系统在评估性结肠炎和克罗恩病的内镜和组织学疾病活动时达到很高的准确性,与专家相比.
- 机器学习模型预测治疗反应和并发症风险;人工智能有助于实时组织学和发育不良检测.
- 挑战包括需要更大的数据集,外部验证和偏差缓解.
结论:
- 人工智能有很大的潜力通过客观评估,结果预测和加强监测来改善IBD护理.
- 临床整合需要在不同人群中进行进一步的验证和前性研究.
- 解决监管和成本障碍对于AI在IBD管理中的成功实施至关重要.
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