| Literature DB >> 33743933 |
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.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