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EVALUATION OF THE IMPACT OF ARTIFICIAL INTELLIGENCE (AI)-AS..:
Kato, Shun
;
Kudo, Shin-ei
;
Misawa, Masashi
...
Gastrointestinal Endoscopy. 97 (2023) 6 - p. AB770 , 2023
Link:
https://doi.org/10.1016/j.gie.2023.04.1260
RT Journal T1
EVALUATION OF THE IMPACT OF ARTIFICIAL INTELLIGENCE (AI)-ASSISTED CHARACTERIZATION FOR COLORECTAL LESIONS USING NARROW-BAND IMAGING FOR THE DIAGNOSTIC OF ENDOSCOPISTS -MULTI-READER, MULTI-CASE STUDY-
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.gie.2023.04.1260&Exemplar=1&LAN=DE A1 Kato, Shun A1 Kudo, Shin-ei A1 Misawa, Masashi A1 Niimura, Yu A1 Sasabe, Keisuke A1 Shibuya, Tomoya A1 Ide, Yutaro A1 Senba, Shigenori A1 Iwasaki, Shunto A1 Kawabata, Yurie A1 Shiina, Osamu A1 Morita, Yuriko A1 Kuroki, Takanori A1 Miyata, Yuki A1 Tamura, Eri A1 Abe, Masahiro A1 Sato, Yuta A1 Sakurai, Tatsuya A1 Kouyama, Yuta A1 Igarashi, Kenta A1 Ogawa, Yushi A1 Maeda, Yasuharu A1 Nakamura, Hiroki A1 Ichimasa, Katsuro A1 Matsudaira, Shingo A1 Ogata, Noriyuki A1 Hisayuki, Tomokazu A1 Hayashi, Takemasa A1 Wakamura, Kunihiko A1 Miyachi, Hideyuki PB Elsevier BV YR 2023 SN 0016-5107 JF Gastrointestinal Endoscopy VO 97 IS 6 SP AB770 LK http://dx.doi.org/https://doi.org/10.1016/j.gie.2023.04.1260 DO https://doi.org/10.1016/j.gie.2023.04.1260 SF ELIB - SuUB Bremen
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