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For: Chu Y, Huang F, Gao M, Zou DW, Zhong J, Wu W, Wang Q, Shen XN, Gong TT, Li YY, Wang LF. Convolutional neural network-based segmentation network applied to image recognition of angiodysplasias lesion under capsule endoscopy. World J Gastroenterol 2023; 29(5): 879-889 [PMID: 36816625 DOI: 10.3748/wjg.v29.i5.879]
URL: https://www.wjgnet.com/1007-9327/full/v29/i5/879.htm
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1
Ahmmad Musha, Rehnuma Hasnat, Abdullah Al Mamun, Em Poh Ping, Tonmoy Ghosh. Computer-Aided Bleeding Detection Algorithms for Capsule Endoscopy: A Systematic Review. Sensors 2023; 23(16) doi: 10.3390/s23167170
2
Francisco Mendes, Miguel Mascarenhas, Tiago Ribeiro, João Afonso, Pedro Cardoso, Miguel Martins, Hélder Cardoso, Patrícia Andrade, João P. S. Ferreira, Miguel Mascarenhas Saraiva, Guilherme Macedo. Artificial Intelligence and Panendoscopy—Automatic Detection of Clinically Relevant Lesions in Multibrand Device-Assisted Enteroscopy. Cancers 2024; 16(1) doi: 10.3390/cancers16010208
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Joana Mota, Maria João Almeida, Francisco Mendes, Miguel Martins, Tiago Ribeiro, João Afonso, Pedro Cardoso, Helder Cardoso, Patrícia Andrade, João Ferreira, Miguel Mascarenhas, Guilherme Macedo. From Data to Insights: How Is AI Revolutionizing Small-Bowel Endoscopy?. Diagnostics 2024; 14(3) doi: 10.3390/diagnostics14030291
4
Yaoqi Yu, Jirui Niu, Yin Yu, Silong Xia, Shiheng Sun. AI predictive modeling of survival outcomes for renal cancer patients undergoing targeted therapy. Scientific Reports 2024; 14(1) doi: 10.1038/s41598-024-77638-6
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Zhi-Wei Zhang, Jun-Qiang Chen. Laparoscopy and methylene blue staining angiography for precise synchronous resection of small intestinal vascular malformations: a case report. Frontiers in Medicine 2025; 12 doi: 10.3389/fmed.2025.1621874
6
Ioannis Kafetzis, Jana Sophia Theile, Stavros Dimitriadis, Jörg Albert, Wolfram Zoller, Alexander Meining, Alexander Hann. Artificial Intelligence‐Based Detection of Colonic Angiodysplasia Can Improve Endoscopic Reporting Consistency. United European Gastroenterology Journal 2026; 14(7) doi: 10.1002/ueg2.70291
7
Ali Sahafi, Anastasios Koulaouzidis, Amin Naemi. Artificial Intelligence in Gastrointestinal Wireless Capsule Endoscopy: A Systematic Literature Review and Meta-Analysis. Diagnostics 2026; 16(9) doi: 10.3390/diagnostics16091269
8
Said Charfi, Mohamed EL Ansari, Lahcen Koutti, Ilyas ELjaafari, Ayoub ELLahyani. Feature Pyramid Network Based Spatial Attention and Cross‐Level Semantic Similarity for Diseases Segmentation From Capsule Endoscopy Images. International Journal of Imaging Systems and Technology 2024; 34(6) doi: 10.1002/ima.23194
9
Zheng-zheng Zou, Wan-liang Guo. MRI-based deep learning and radiomics for severity classification of pediatric venous malformations. BMC Medical Imaging 2026; 26(1) doi: 10.1186/s12880-026-02161-1
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Said Charfi, Mohamed El Ansari, Lahcen Koutti, Ayoub Ellahyani, Ilyas Eljaafari. Modified residual attention network for abnormalities segmentation and detection in WCE images. Soft Computing 2024; 28(9-10) doi: 10.1007/s00500-023-09576-w
11
Angye Xie, Ding Huang, Qingyu Bu, Shujing He, Zongze Li, Yi Zhang, Yuanqing Dong, Chaoyang Shi, Chengzhi Hu. Collaborative Magnetic Manipulation by Robotically Actuated Permanent Magnet and Multiple Electromagnets. IEEE Transactions on Medical Robotics and Bionics 2025; 7(4) doi: 10.1109/TMRB.2025.3617986
12
Yang-Yang Wang, Bin Liu, Ji-Han Wang. Application of deep learning-based convolutional neural networks in gastrointestinal disease endoscopic examination. World Journal of Gastroenterology 2025; 31(36): 111137 doi: 10.3748/wjg.v31.i36.111137
13
Rui-Ya Zhang, Peng-Peng Qiang, Ling-Jun Cai, Tao Li, Yan Qin, Yu Zhang, Yi-Qing Zhao, Jun-Ping Wang. Automatic detection of small bowel lesions with different bleeding risks based on deep learning models. World Journal of Gastroenterology 2024; 30(2): 170-183 doi: 10.3748/wjg.v30.i2.170
14
Mladen Maksić, Irfan Corović, Isidora Stanisavljević, Dušan Radojević, Tijana Veljković, Željko Todorović, Marina Jovanović, Nataša Zdravković, Bojan Stojanović, Bojana Simović Marković, Ivan Jovanović. Heyde Syndrome Unveiled: A Case Report with Current Literature Review and Molecular Insights. International Journal of Molecular Sciences 2024; 25(20) doi: 10.3390/ijms252011041
15
Ashwin A. George, Jin Lin Tan, Joshua G. Kovoor, Alvin Lee, Brandon Stretton, Aashray K. Gupta, Stephen Bacchi, Biju George, Rajvinder Singh. Artificial intelligence in capsule endoscopy: development status and future expectations. Mini-invasive Surgery 2024;  doi: 10.20517/2574-1225.2023.102
16
Miguel Mascarenhas, Francisco Mendes, Tiago Ribeiro, João Afonso, Pedro Marílio Cardoso, Miguel Martins, Hélder Cardoso, Patrícia Andrade, João Ferreira, Miguel Mascarenhas Saraiva, Guilherme Macedo. Deep Learning and Minimally Invasive Endoscopy: Panendoscopic Detection of Pleomorphic Lesions. GE - Portuguese Journal of Gastroenterology 2024; 31(6) doi: 10.1159/000539837
17
Henrique Coelho, Fernando Silva, Marta Correia, Pedro Miguel Rodrigues. Artificial Intelligence in Patient Blood Management: A Systematic Review of Predictive, Diagnostic, and Decision Support Applications. Journal of Clinical Medicine 2025; 14(23) doi: 10.3390/jcm14238479
18
Di Cui, Xiaotiao Zhan, Guoqing Sun. Proceedings of the 5th International Conference on Big Data Analytics for Cyber-Physical System in Smart City—Volume 2. Lecture Notes on Data Engineering and Communications Technologies 2025; 235 doi: 10.1007/978-981-96-0211-7_42
19
Karam Al-Bayati, James K. Stone, Tyler M. Berzin. The Use of Artificial Intelligence for Endoscopic Evaluation of the Small Bowel. Gastrointestinal Endoscopy Clinics of North America 2025; 35(2) doi: 10.1016/j.giec.2024.12.001
20
Ashley Bond, Kevin Mccay, Simon Lal. Artificial intelligence & clinical nutrition: What the future might have in store. Clinical Nutrition ESPEN 2023; 57 doi: 10.1016/j.clnesp.2023.07.082
21
Hui Wang, Xu Zhao, Wenjing Ma. RFC-YOLO: An Improved Object Detection Model for Endoscopic Images With RFAConv and Attention-Guided Head. IEEE Access 2026; 14 doi: 10.1109/ACCESS.2026.3729820
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