小肠胶囊内镜中人工智能未满足的需求

Unmet Needs of Artificial Intelligence in Small Bowel Capsule Endoscopy.

作者信息

Piccirelli Stefania, Salvi Daniele, Pugliano Cecilia Lina, Tettoni Enrico, Facciorusso Antonio, Rondonotti Emanuele, Mussetto Alessandro, Fuccio Lorenzo, Cesaro Paola, Spada Cristiano

机构信息

Department of Gastroenterology and Endoscopy, Fondazione Poliambulanza Istituto Ospedaliero, 25124 Brescia, Italy.

Department of Experimental Medicine, Università del Salento, 73100 Lecce, Italy.

出版信息

Diagnostics (Basel). 2025 Apr 25;15(9):1092. doi: 10.3390/diagnostics15091092.

DOI:10.3390/diagnostics15091092

PMID:40361910

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12071857/

Abstract

Small bowel capsule endoscopy (SBCE) has emerged in the past two decades as the cornerstone for assessing small bowel disorders, and its use is supported by several guidelines. However, there are several limitations, such as the considerable time required for gastroenterologists to review these videos and reach a diagnosis. To address these limitations, researchers have explored the integration of artificial intelligence in the interpretation of these videos. In our review, we explore the evolving and emerging role of artificial intelligence in SBCE and examine the latest advancements and ongoing studies in these areas, aiming at overcoming current limitations.

摘要

在过去二十年中，小肠胶囊内镜检查（SBCE）已成为评估小肠疾病的基石，并且多项指南都支持其使用。然而，它存在一些局限性，比如胃肠病学家查看这些视频并做出诊断需要相当长的时间。为了解决这些局限性，研究人员探索了将人工智能整合到这些视频的解读中。在我们的综述中，我们探讨了人工智能在小肠胶囊内镜检查中不断演变和新兴的作用，并研究了这些领域的最新进展和正在进行的研究，旨在克服当前的局限性。