Department of Gastroenterology, University Hospital of Augsburg, Germany.
Regensburg Medical Image Computing (ReMIC), Ostbayerische Technische Hochschule Regensburg (OTH Regensburg), Germany.
Best Pract Res Clin Gastroenterol. 2021 Jun-Aug;52-53:101726. doi: 10.1016/j.bpg.2021.101726. Epub 2021 Feb 8.
The evaluation and assessment of Barrett's esophagus is challenging for both expert and nonexpert endoscopists. However, the early diagnosis of cancer in Barrett's esophagus is crucial for its prognosis, and could save costs. Pre-clinical and clinical studies on the application of Artificial Intelligence (AI) in Barrett's esophagus have shown promising results. In this review, we focus on the current challenges and future perspectives of implementing AI systems in the management of patients with Barrett's esophagus.
巴雷特食管的评估和诊断对专家和非专家内镜医生都是具有挑战性的。然而,巴雷特食管的早期诊断对于其预后至关重要,并且可以节省成本。关于人工智能(AI)在巴雷特食管中的应用的临床前和临床研究已经显示出了有前景的结果。在这篇综述中,我们重点介绍了在巴雷特食管患者管理中实施 AI 系统所面临的当前挑战和未来展望。