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- Shun Kato , Shin-ei Kudo , Masashi Misawa , Yu Niimura , Keisuke Sasabe , Tomoya Shibuya , Yutaro Ide , Shigenori Senba , Shunto Iwasaki , Yurie Kawabata , Osamu Shiina , Yuriko Morita , Takanori Kuroki , Yuki Miyata , Eri Tamura , Masahiro Abe , Yuta Sato , Tatsuya Sakurai , Yuta Kouyama , Kenta Igarashi , Yushi Ogawa , Yasuharu Maeda , Hiroki Nakamura , Katsuro Ichimasa , Shingo Matsudaira , Noriyuki Ogata , Tomokazu Hisayuki , Takemasa Hayashi , Kunihiko Wakamura , Hideyuki Miyachi , Toshiyuki Baba , Fumio Ishida , Tetsuo Nemoto Gastrointestinal Endoscopy（2023）
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colorectal lesions, diagnostic, ai-assisted, imaging, narrow-band, multi-reader, multi-case
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