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- W3097130993 endingPage "253" @default.
- W3097130993 startingPage "242" @default.
- W3097130993 abstract "Artificial intelligence (AI) and its application in medicine has grown large interest. Within gastrointestinal (GI) endoscopy, the field of colonoscopy and polyp detection is the most investigated, however, upper GI follows the lead. Since endoscopy is performed by humans, it is inherently an imperfect procedure. Computer‐aided diagnosis may improve its quality by helping prevent missing lesions and supporting optical diagnosis for those detected. An entire evolution in AI systems has been established in the last decades, resulting in optimization of the diagnostic performance with lower variability and matching or even outperformance of expert endoscopists. This shows a great potential for future quality improvement of endoscopy, given the outstanding diagnostic features of AI. With this narrative review, we highlight the potential benefit of AI to improve overall quality in daily endoscopy and describe the most recent developments for characterization and diagnosis as well as the recent conditions for regulatory approval." @default.
- W3097130993 created "2020-11-09" @default.
- W3097130993 creator A5021791508 @default.
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- W3097130993 creator A5037311808 @default.
- W3097130993 creator A5078511730 @default.
- W3097130993 creator A5087036759 @default.
- W3097130993 date "2020-12-19" @default.
- W3097130993 modified "2023-10-17" @default.
- W3097130993 title "Artificial intelligence and its impact on quality improvement in upper and lower gastrointestinal endoscopy" @default.
- W3097130993 cites W1263185392 @default.
- W3097130993 cites W1488172216 @default.
- W3097130993 cites W1837682104 @default.
- W3097130993 cites W1965340746 @default.
- W3097130993 cites W1974913213 @default.
- W3097130993 cites W1988352665 @default.
- W3097130993 cites W1997715283 @default.
- W3097130993 cites W1999409447 @default.
- W3097130993 cites W2003395079 @default.
- W3097130993 cites W2036282859 @default.
- W3097130993 cites W2065458660 @default.
- W3097130993 cites W2109871600 @default.
- W3097130993 cites W2110693908 @default.
- W3097130993 cites W2137124974 @default.
- W3097130993 cites W2140753590 @default.
- W3097130993 cites W2144840574 @default.
- W3097130993 cites W2146959306 @default.
- W3097130993 cites W2151255896 @default.
- W3097130993 cites W2155168340 @default.
- W3097130993 cites W2158155001 @default.
- W3097130993 cites W2162498245 @default.
- W3097130993 cites W2335305671 @default.
- W3097130993 cites W2339886540 @default.
- W3097130993 cites W2536684558 @default.
- W3097130993 cites W2557738935 @default.
- W3097130993 cites W2560014990 @default.
- W3097130993 cites W2576907864 @default.
- W3097130993 cites W2581082771 @default.
- W3097130993 cites W2594373254 @default.
- W3097130993 cites W2603811950 @default.
- W3097130993 cites W2620350742 @default.
- W3097130993 cites W2744990178 @default.
- W3097130993 cites W2746647587 @default.
- W3097130993 cites W2752119587 @default.
- W3097130993 cites W2765095566 @default.
- W3097130993 cites W2765527079 @default.
- W3097130993 cites W2773615652 @default.
- W3097130993 cites W2778113922 @default.
- W3097130993 cites W2783201053 @default.
- W3097130993 cites W2785825652 @default.
- W3097130993 cites W2794989069 @default.
- W3097130993 cites W2795112675 @default.
- W3097130993 cites W2798086101 @default.
- W3097130993 cites W2803358834 @default.
- W3097130993 cites W2809596283 @default.
- W3097130993 cites W2886205008 @default.
- W3097130993 cites W2889646458 @default.
- W3097130993 cites W2896658870 @default.
- W3097130993 cites W2897749869 @default.
- W3097130993 cites W2898110333 @default.
- W3097130993 cites W2898260073 @default.
- W3097130993 cites W2898544046 @default.
- W3097130993 cites W2900992792 @default.
- W3097130993 cites W2901624530 @default.
- W3097130993 cites W2903108490 @default.
- W3097130993 cites W2911203843 @default.
- W3097130993 cites W2911391468 @default.
- W3097130993 cites W2916105049 @default.
- W3097130993 cites W2921713499 @default.
- W3097130993 cites W2922329578 @default.
- W3097130993 cites W2937903160 @default.
- W3097130993 cites W2944507165 @default.
- W3097130993 cites W2955608372 @default.
- W3097130993 cites W2957132740 @default.
- W3097130993 cites W2958413208 @default.
- W3097130993 cites W2963589681 @default.
- W3097130993 cites W2969427054 @default.
- W3097130993 cites W2973140425 @default.
- W3097130993 cites W2973355180 @default.
- W3097130993 cites W2974808167 @default.
- W3097130993 cites W2978940166 @default.
- W3097130993 cites W2981035911 @default.
- W3097130993 cites W2986146894 @default.
- W3097130993 cites W2987543910 @default.
- W3097130993 cites W2989417270 @default.
- W3097130993 cites W2989631244 @default.
- W3097130993 cites W2997235526 @default.
- W3097130993 cites W2999377002 @default.
- W3097130993 cites W2999411258 @default.
- W3097130993 cites W2999915528 @default.
- W3097130993 cites W3001365238 @default.
- W3097130993 cites W3002683649 @default.
- W3097130993 cites W3005985118 @default.
- W3097130993 cites W3006126258 @default.
- W3097130993 cites W3007124747 @default.
- W3097130993 cites W3008930916 @default.
- W3097130993 cites W3012248522 @default.
- W3097130993 cites W3021812344 @default.