Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study

Upper gastrointestinal cancers (including oesophageal cancer and gastric cancer) are the most common cancers worldwide. Artificial intelligence platforms using deep learning algorithms have made remarkable progress in medical imaging but their application in upper gastrointestinal cancers has been l...

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Veröffentlicht in:	The lancet oncology 2019-12, Vol.20 (12), p.1645-1654
Hauptverfasser:	Luo, Huiyan, Xu, Guoliang, Li, Chaofeng, He, Longjun, Luo, Linna, Wang, Zixian, Jing, Bingzhong, Deng, Yishu, Jin, Ying, Li, Yin, Li, Bin, Tan, Wencheng, He, Caisheng, Seeruttun, Sharvesh Raj, Wu, Qiubao, Huang, Jun, Huang, De-wang, Chen, Bin, Lin, Shao-bin, Chen, Qin-ming, Yuan, Chu-ming, Chen, Hai-xin, Pu, Heng-ying, Zhou, Feng, He, Yun, Xu, Rui-hua
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial intelligence Clinical medicine Endoscopy Esophageal cancer Esophagus Gastric cancer Gastrointestinal cancer Hospitals Learning algorithms Medical diagnosis Medical prognosis Studies Tumors
Online-Zugang:	Volltext
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