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Tsuboi et al. Mini-invasive Surg 2024;8:26 https://dx.doi.org/10.20517/2574-1225.2023.94 Page 19 of 21

settings, but QuickView with Blue Mode is of no additional benefit. Eur J Gastroenterol Hepatol 2012;24:1099-104. DOI PubMed
121. Shiotani A, Honda K, Kawakami M, et al. Analysis of small-bowel capsule endoscopy reading by using Quickview mode: training
assistants for reading may produce a high diagnostic yield and save time for physicians. J Clin Gastroenterol 2012;46:e92-5. DOI
PubMed
122. Hosoe N, Rey JF, Imaeda H, et al. Evaluations of capsule endoscopy software in reducing the reading time and the rate of false
negatives by inexperienced endoscopists. Clin Res Hepatol Gastroenterol 2012;36:66-71. DOI PubMed
123. Arieira C, Monteiro S, Dias de Castro F, et al. Capsule endoscopy: is the software TOP 100 a reliable tool in suspected small bowel
bleeding? Dig Liver Dis 2019;51:1661-4. DOI PubMed
®
124. Gomes C, Pinho R, Ponte A, et al. Evaluation of the sensitivity of the Express View function in the Mirocam capsule endoscopy
software. Scand J Gastroenterol 2020;55:371-5. DOI PubMed
125. Doi K. Computer-aided diagnosis in medical imaging: historical review, current status and future potential. Comput Med Imaging
Graph 2007;31:198-211. DOI PubMed PMC
126. Shichijo S, Nomura S, Aoyama K, et al. Application of convolutional neural networks in the diagnosis of helicobacter pylori infection
based on endoscopic images. EBioMedicine 2017;25:106-11. DOI PubMed PMC
127. Hirasawa T, Aoyama K, Tanimoto T, et al. Application of artificial intelligence using a convolutional neural network for detecting
gastric cancer in endoscopic images. Gastric Cancer 2018;21:653-60. DOI PubMed
128. Kumagai Y, Takubo K, Kawada K, et al. Diagnosis using deep-learning artificial intelligence based on the endocytoscopic
observation of the esophagus. Esophagus 2019;16:180-7. DOI PubMed
129. Aoki T, Yamada A, Aoyama K, et al. Automatic detection of erosions and ulcerations in wireless capsule endoscopy images based on
a deep convolutional neural network. Gastrointest Endosc 2019;89:357-63.e2. DOI PubMed
130. Tsuboi A, Oka S, Aoyama K, et al. Artificial intelligence using a convolutional neural network for automatic detection of small-
bowel angioectasia in capsule endoscopy images. Dig Endosc 2020;32:382-90. DOI PubMed
131. Aoki T, Yamada A, Kato Y, et al. Automatic detection of blood content in capsule endoscopy images based on a deep convolutional
neural network. J Gastroenterol Hepatol 2020;35:1196-200. DOI PubMed
132. Saito H, Aoki T, Aoyama K, et al. Automatic detection and classification of protruding lesions in wireless capsule endoscopy images
based on a deep convolutional neural network. Gastrointest Endosc 2020;92:144-51.e1. DOI PubMed
133. Aoki T, Yamada A, Aoyama K, et al. Clinical usefulness of a deep learning-based system as the first screening on small-bowel
capsule endoscopy reading. Dig Endosc 2020;32:585-91. DOI PubMed
134. Aoki T, Yamada A, Kato Y, et al. Automatic detection of various abnormalities in capsule endoscopy videos by a deep learning-
based system: a multicenter study. Gastrointest Endosc 2021;93:165-73.e1. DOI PubMed
135. Soffer S, Klang E, Shimon O, et al. Deep learning for wireless capsule endoscopy: a systematic review and meta-analysis.
Gastrointest Endosc 2020;92:831-9.e8. DOI PubMed
136. Dray X, Iakovidis D, Houdeville C, et al. Artificial intelligence in small bowel capsule endoscopy - current status, challenges and
future promise. J Gastroenterol Hepatol 2021;36:12-9. DOI PubMed
137. Qin K, Li J, Fang Y, et al. Convolution neural network for the diagnosis of wireless capsule endoscopy: a systematic review and
meta-analysis. Surg Endosc 2022;36:16-31. DOI PubMed PMC
138. Ding Z, Shi H, Zhang H, et al. Gastroenterologist-level identification of small-bowel diseases and normal variants by capsule
endoscopy using a deep-learning model. Gastroenterology 2019;157:1044-54.e5. DOI PubMed
139. Mascarenhas Saraiva MJ, Afonso J, Ribeiro T, et al. Deep learning and capsule endoscopy: automatic identification and
differentiation of small bowel lesions with distinct haemorrhagic potential using a convolutional neural network. BMJ Open
Gastroenterol 2021;8:e000753. DOI PubMed PMC
140. Piccirelli S, Milluzzo SM, Bizzotto A, Cesaro P, Pecere S, Spada C. Small bowel capsule endoscopy and artificial intelligence: first
or second reader? Best Pract Res Clin Gastroenterol 2021;52-3:101742. DOI PubMed
141. Aoki T, Yamada A, Oka S, et al. Comparison of clinical utility of deep learning-based systems for small-bowel capsule endoscopy
reading. J Gastroenterol Hepatol 2024;39:157-64. DOI PubMed
142. Sumioka A, Tsuboi A, Oka S, et al. Disease surveillance evaluation of primary small-bowel follicular lymphoma using capsule
endoscopy images based on a deep convolutional neural network (with video). Gastrointest Endosc 2023;98:968-76.e3. DOI
PubMed
143. Saraiva MM, Ferreira JPS, Cardoso H, et al. Artificial intelligence and colon capsule endoscopy: development of an automated
diagnostic system of protruding lesions in colon capsule endoscopy. Tech Coloproctol 2021;25:1243-8. DOI PubMed
144. Yamada A, Niikura R, Otani K, Aoki T, Koike K. Automatic detection of colorectal neoplasia in wireless colon capsule endoscopic
images using a deep convolutional neural network. Endoscopy 2021;53:832-6. DOI PubMed
145. Ribeiro T, Mascarenhas M, Afonso J, et al. Artificial intelligence and colon capsule endoscopy: Automatic detection of ulcers and
erosions using a convolutional neural network. J Gastroenterol Hepatol 2022;37:2282-8. DOI PubMed
146. Mascarenhas M, Ribeiro T, Afonso J, et al. Deep learning and colon capsule endoscopy: automatic detection of blood and colonic
mucosal lesions using a convolutional neural network. Endosc Int Open 2022;10:E171-7. DOI PubMed PMC
147. Gilabert P, Vitrià J, Laiz P, et al. Artificial intelligence to improve polyp detection and screening time in colon capsule endoscopy.
Front Med 2022;9:1000726. DOI PubMed PMC
148. Carpi F, Galbiati S, Carpi A. Magnetic shells for gastrointestinal endoscopic capsules as a means to control their motion. Biomed