Literature DB >> 33743933

Artificial Intelligence Research and Development for Application in Video Capsule Endoscopy.

Peter Sullivan1, Shradha Gupta1, Patrick D Powers1, Neil B Marya2.   

Abstract

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.
Copyright © 2021 Elsevier Inc. All rights reserved.

Keywords:  Artificial intelligence; Convolutional neural networks; Deep learning; Machine learning; Video capsule endoscopy

Year:  2021        PMID: 33743933     DOI: 10.1016/j.giec.2020.12.009

Source DB:  PubMed          Journal:  Gastrointest Endosc Clin N Am        ISSN: 1052-5157


  1 in total

1.  Innovations in Gastrointestinal Endoscopy: Challenges in Advancing the Frontier.

Authors:  Drew B Schembre
Journal:  Gastroenterol Hepatol (N Y)       Date:  2021-10
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.