Division of Gastroenterology, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA 01655, USA.
Division of Gastroenterology, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA 01655, USA.
Gastrointest Endosc Clin N Am. 2021 Apr;31(2):387-397. doi: 10.1016/j.giec.2020.12.009. Epub 2021 Feb 15.
Artificial intelligence (AI) research for medical applications has expanded quickly. Advancements in computer processing now allow for the development of complex neural network architectures (eg, convolutional neural networks) that are capable of extracting and learning complex features from massive data sets, including large image databases. Gastroenterology and endoscopy are well suited for AI research. Video capsule endoscopy is an ideal platform for AI model research given the large amount of data produced by each capsule examination and the annotated databases that are already available. Studies have demonstrated high performance for applications of capsule-based AI models developed for various pathologic conditions.
人工智能（AI）在医学应用方面的研究发展迅速。计算机处理的进步现在使得开发复杂的神经网络架构（例如卷积神经网络）成为可能，这些架构能够从大规模数据集（包括大型图像数据库）中提取和学习复杂特征。胃肠病学和内镜检查非常适合 AI 研究。鉴于每个胶囊检查产生的大量数据和已经可用的带注释数据库，视频胶囊内镜是 AI 模型研究的理想平台。研究已经证明，针对各种病理情况开发的基于胶囊的 AI 模型应用具有很高的性能。
