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New artificial intelligence system: first validation study versus experienced endoscopists for colorectal polyp detection
Gut
◽
10.1136/gutjnl-2019-319914
◽
2019
◽
Vol 69
(5)
◽
pp. 799-800
◽
Cited By ~ 23
Author(s):
Cesare Hassan
◽
Michael B Wallace
◽
Prateek Sharma
◽
Roberta Maselli
◽
Vincenzo Craviotto
◽
...
Keyword(s):
Artificial Intelligence
◽
Validation Study
◽
Colorectal Polyp
◽
Polyp Detection
◽
Artificial Intelligence System
◽
Intelligence System
◽
Experienced Endoscopists
Download Full-text
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A validation study of automated sleep apnoea detection using alerte digital health's artificial intelligence system
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Fr611 DIAGNOSTIC ACCURACY OF ARTIFICIAL INTELLIGENCE SYSTEM IN DETECTING COLON POLYPS: MULTICENTER, INTERNATIONAL COMPUTER AIDED POLYP DETECTION (C3PO) TRIAL
Gastroenterology
◽
10.1016/s0016-5085(21)01612-7
◽
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◽
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◽
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Polyp Detection
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Intelligence System
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A practical artificial intelligence system to diagnose COVID-19 using computed tomography: A multinational external validation study
Pattern Recognition Letters
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Robert M. Kwee
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EVALUATION OF A REAL-TIME ARTIFICIAL INTELLIGENCE SYSTEM USING A DEEP NEURAL NETWORK FOR POLYP DETECTION AND LOCALIZATION IN THE LOWER GASTROINTESTINAL TRACT
10.1055/s-0040-1704078
◽
2020
◽
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H Seibt
◽
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M Häfner
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◽
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◽
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◽
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◽
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D. Playford
◽
P. Jais
◽
R. Weerasooriya
◽
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◽
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◽
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P1721A validation study of automated atrial fibrillation detection using Alerte Digital Health artificial intelligence system
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◽
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◽
Vol 38
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◽
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◽
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