Application of artificial intelligence in gastrointestinal endoscopy

Autor:	Yan Qing Li, Zhen Li, Xiu Li Zuo, Yi Shan He, Jing Ran Su
Rok vydání:	2019
Předmět:	Lesion detection medicine.diagnostic_test business.industry Gastrointestinal Diseases Gastroenterology Gi endoscopy Endoscopy Gastrointestinal Endoscopy 03 medical and health sciences 0302 clinical medicine Artificial Intelligence 030220 oncology & carcinogenesis medicine Humans 030211 gastroenterology & hepatology Artificial intelligence business Preclinical stage Gastrointestinal endoscopy
Zdroj:	Journal of digestive diseasesREFERENCES. 20(12)
ISSN:	1751-2980
Popis:	With recent significant improvements in artificial intelligence (AI), especially in the field of deep learning, an increasing number of studies have evaluated the use of AI in endoscopy to detect and diagnose gastrointestinal (GI) lesions. The present review summarizes current publications on the use of AI in GI endoscopy and focuses on the challenges and future of AI-aided systems. We expect AI to provide an effective and practical method for endoscopists in lesion detection and characterization as well as in quality control in endoscopy. However, so far, most studies have remained at the preclinical stage. More attention should be paid in the future to the use of AI in real-life clinical applications.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2855949617fcff2b264a9398a91e306f https://pubmed.ncbi.nlm.nih.gov/31639272 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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