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Tada, Tomohiro
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1

EFFECT OF AN ARTIFICIAL INTELLIGENCE-ASSISTED ENDOSCOPY IN ..:

Fujimoto, Ai ; Higuchi, Kazutoshi ; Akimoto, Teppei...
Gastrointestinal Endoscopy.  99 (2024)  6 - p. AB21 , 2024
Link: https://doi.org/10.1016/..
 
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2

Artificial intelligence for gastric cancer in endoscopy: Fr..:

Matsubayashi, Carolina Ogawa ; Cheng, Shuyan ; Hulchafo, Ismael...
Digestive and Liver Disease.  56 (2024)  7 - p. 1156-1163 , 2024
Link: https://doi.org/10.1016/..
 
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3

DEVELOPMENT OF AN AI-BASED ENDOSCOPIC EXAMINATION REVIEWING..:

Sugawara, Hideyuki ; Koike, Tomoyuki ; Kato, Katsuaki...
Gastrointestinal Endoscopy.  99 (2024)  6 - p. AB33-AB34 , 2024
Link: https://doi.org/10.1016/..
 
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4

Development of an Artificial Intelligence Diagnostic System..:

Takeda, Tsutomu ; Asaoka, Daisuke ; Ueyama, Hiroya...
Journal of Clinical Medicine.  13 (2024)  7 - p. 1990 , 2024
Link: https://doi.org/10.3390/..
 
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5

Cost‐effectiveness analysis of the artificial intelligence ..:

Yonazu, Shion ; Ozawa, Tsuyoshi ; Nakanishi, Tamiji...
DEN Open.  4 (2023)  1 - p. , 2023
Link: https://doi.org/10.1002/..
 
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6

Comparison of clinical utility of deep learning‐based syste..:

Aoki, Tomonori ; Yamada, Atsuo ; Oka, Shiro...
Journal of Gastroenterology and Hepatology.  39 (2023)  1 - p. 157-164 , 2023
Link: https://doi.org/10.1111/..
 
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7

Disease surveillance evaluation of primary small-bowel foll..:

Sumioka, Akihiko ; Tsuboi, Akiyoshi ; Oka, Shiro...
Gastrointestinal Endoscopy.  98 (2023)  6 - p. 968-976.e3 , 2023
Link: https://doi.org/10.1016/..
 
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8

Comparative examination of the pons and corpus callosum as ..:

Tada, Tomohiro ; Hara, Kazuhiro ; Fujita, Naotoshi...
Annals of Nuclear Medicine.  37 (2023)  7 - p. 410-418 , 2023
Link: https://doi.org/10.1007/..
 
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9

Comparing artificial intelligence to humans for endoscopic ..:

Quek, Sabrina Xin Zi ; Lee, Jonathan W. J. ; Feng, Zhu...
Journal of Gastroenterology and Hepatology.  38 (2023)  9 - p. 1587-1591 , 2023
Link: https://doi.org/10.1111/..
 
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10

A single-center prospective study evaluating the usefulness..:

Tani, Yasuhiro ; Ishihara, Ryu ; Inoue, Takahiro...
BMC Gastroenterology.  23 (2023)  1 - p. , 2023
Link: https://doi.org/10.1186/..
 
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11

USE OF ARTIFICIAL INTELLIGENCE FOR DETECTION OF GASTRIC CAN..:

Matsubayashi, Carolina ; Ribeiro Jordão Sasso, João Guilherme ; Gomes, Rômulo...
Gastrointestinal Endoscopy.  97 (2023)  6 - p. AB1239 , 2023
Link: https://doi.org/10.1016/..
 
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12

Determination of gastric atrophy with artificial intelligen..:

Kodaka, Yasuhiro ; Futagami, Seiji ; Watanabe, Yoshiyuki...
JGH Open.  6 (2022)  10 - p. 704-710 , 2022
Link: https://doi.org/10.1002/..
 
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13

Novel approach to semi‐quantification of tracer accumulatio..:

Ito, Yoshinori ; Fujita, Naotoshi ; Hara, Kazuhiro...
Journal of Applied Clinical Medical Physics.  23 (2022)  7 - p. , 2022
Link: https://doi.org/10.1002/..
 
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14

Utility of an artificial intelligence system for classifica..:

Tajiri, Ayaka ; Ishihara, Ryu ; Kato, Yusuke...
Scientific Reports.  12 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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15

Application of Convolutional Neural Networks for Diagnosis ..:

Okimoto, Eiko ; Ishimura, Norihisa ; Adachi, Kyoichi...
Journal of Clinical Medicine.  11 (2022)  9 - p. 2529 , 2022
Link: https://doi.org/10.3390/..
 
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