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-

Autor: Kato, Shun, Kudo, Shin-ei, Misawa, Masashi, Niimura, Yu, Sasabe, Keisuke, Shibuya, Tomoya, Ide, Yutaro, Senba, Shigenori, Iwasaki, Shunto, Kawabata, Yurie, Shiina, Osamu, Morita, Yuriko, Kuroki, Takanori, Miyata, Yuki, Tamura, Eri, Abe, Masahiro, Sato, Yuta, Sakurai, Tatsuya, Kouyama, Yuta, Igarashi, Kenta, Ogawa, Yushi, Maeda, Yasuharu, Nakamura, Hiroki, Ichimasa, Katsuro, Matsudaira, Shingo, Ogata, Noriyuki, Hisayuki, Tomokazu, Hayashi, Takemasa, Wakamura, Kunihiko, Miyachi, Hideyuki, Baba, Toshiyuki, Ishida, Fumio, Nemoto, Tetsuo
Zdroj: In Gastrointestinal Endoscopy June 2023 97(6) Supplement:AB770-AB770
Databáze: ScienceDirect
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