| For: | Yoshida H, Kiyuna T. Requirements for implementation of artificial intelligence in the practice of gastrointestinal pathology. World J Gastroenterol 2021; 27(21): 2818-2833 [PMID: 34135556 DOI: 10.3748/wjg.v27.i21.2818] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v27/i21/2818.htm |
| Number | Citing Articles |
| 1 |
Anil Alpsoy, Aysen Yavuz, Gulsum Ozlem Elpek. Artificial intelligence in pathological evaluation of gastrointestinal cancers. Artificial Intelligence in Gastroenterology 2021; 2(6): 141-156 doi: 10.35712/aig.v2.i6.141
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| 2 |
Surajit Bag, Pavitra Dhamija, Rajesh Kumar Singh, Muhammad Sabbir Rahman, V. Raja Sreedharan. Big data analytics and artificial intelligence technologies based collaborative platform empowering absorptive capacity in health care supply chain: An empirical study. Journal of Business Research 2023; 154 doi: 10.1016/j.jbusres.2022.113315
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| 3 |
Yujin Oh, Go Eun Bae, Kyung-Hee Kim, Min-Kyung Yeo, Jong Chul Ye. Multi-Scale Hybrid Vision Transformer for Learning Gastric Histology: AI-Based Decision Support System for Gastric Cancer Treatment. IEEE Journal of Biomedical and Health Informatics 2023; 27(8) doi: 10.1109/JBHI.2023.3276778
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| 4 |
Zaibo Li, Yueping Liu, William MacDonald, Shaoli Sun, Wei Chen, Ankush U. Patel, Anil V. Parwani, Swati Satturwar. Advances in Digital Pathology and Artificial Intelligence in Pathology. 2027; doi: 10.1016/B978-0-443-40383-5.00008-X
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| 5 |
Mario Alejandro García, Martín Nicolás Gramática, Juan Pablo Ricapito. Intermediate Task Fine-Tuning in Cancer Classification. Journal of Computer Science and Technology 2023; 23(2) doi: 10.24215/16666038.23.e12
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| 6 |
Agnieszka Pilch, Ryszard Zygała, Wiesława Gryncewicz, Mykola Dyvak, Andriy Melnyk. Emerging Challenges in Intelligent Management Information Systems. Lecture Notes in Networks and Systems 2024; 1079 doi: 10.1007/978-3-031-66761-9_6
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| 7 |
Muhammed Mubarak, Rahma Rashid, Fnu Sapna, Shaheera Shakeel. Expanding role and scope of artificial intelligence in the field of gastrointestinal pathology. Artificial Intelligence in Gastroenterology 2024; 5(2): 91550 doi: 10.35712/aig.v5.i2.91550
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| 8 |
Tomoharu Kiyuna, Eric Cosatto, Kanako C. Hatanaka, Tomoyuki Yokose, Koji Tsuta, Noriko Motoi, Keishi Makita, Ai Shimizu, Toshiya Shinohara, Akira Suzuki, Emi Takakuwa, Yasunari Takakuwa, Takahiro Tsuji, Mitsuhiro Tsujiwaki, Mitsuru Yanai, Sayaka Yuzawa, Maki Ogura, Yutaka Hatanaka. Evaluating Cellularity Estimation Methods: Comparing AI Counting with Pathologists’ Visual Estimates. Diagnostics 2024; 14(11) doi: 10.3390/diagnostics14111115
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| 9 |
Ahmed Mansour, Omar Saeed. Constraint-Aware Hospital Staffing Forecasting: A Resilience-Oriented Modeling Framework for Workforce Stability. Journal of Health Informatics and Digital Systems 2022; 2(1) doi: 10.68159/u109668323
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| 10 |
Corina-Elena Minciuna, Mihai Tanase, Teodora Ecaterina Manuc, Stefan Tudor, Vlad Herlea, Mihnea P. Dragomir, George A. Calin, Catalin Vasilescu. The seen and the unseen: Molecular classification and image based-analysis of gastrointestinal cancers. Computational and Structural Biotechnology Journal 2022; 20 doi: 10.1016/j.csbj.2022.09.010
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| 11 |
Angelene Berwick, Graham Holland, Bradford Power, Amy Rebane, Breanne Butler, Nicolas M. Orsi. Patient and public involvement (PPI) in computer-aided diagnostics in digital histopathology. Diagnostic Histopathology 2023; 29(9) doi: 10.1016/j.mpdhp.2023.06.008
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| 12 |
Athena Davri, Effrosyni Birbas, Theofilos Kanavos, Georgios Ntritsos, Nikolaos Giannakeas, Alexandros T. Tzallas, Anna Batistatou. Deep Learning on Histopathological Images for Colorectal Cancer Diagnosis: A Systematic Review. Diagnostics 2022; 12(4) doi: 10.3390/diagnostics12040837
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| 13 |
Joaquim Carreras. The pathobiology of follicular lymphoma. Journal of Clinical and Experimental Hematopathology 2023; 63(3) doi: 10.3960/jslrt.23014
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| 14 |
Tao Jin, Yancai Jiang, Boneng Mao, Xing Wang, Bo Lu, Ji Qian, Hutao Zhou, Tieliang Ma, Yefei Zhang, Sisi Li, Yun Shi, Zhendong Yao. Multi-center verification of the influence of data ratio of training sets on test results of an AI system for detecting early gastric cancer based on the YOLO-v4 algorithm. Frontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.953090
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| 15 |
Ali Azimi, Pablo Fernandez-Peñas. Molecular Classifiers in Skin Cancers: Challenges and Promises. Cancers 2023; 15(18) doi: 10.3390/cancers15184463
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| 16 |
Liucheng Li, Fang Lv, Chen Du, Lianjun Yang, Chengzhou Pa, Yunrui Dai. Artificial intelligence-driven gastrointestinal functional assessment: multimodal imaging, digital biomarkers, and real-time monitoring. Frontiers in Physiology 2026; 17 doi: 10.3389/fphys.2026.1778235
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| 17 |
Daniele Giansanti. The Regulation of Artificial Intelligence in Digital Radiology in the Scientific Literature: A Narrative Review of Reviews. Healthcare 2022; 10(10) doi: 10.3390/healthcare10101824
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| 18 |
Saba Shafi, Anil V. Parwani. Artificial intelligence in diagnostic pathology. Diagnostic Pathology 2023; 18(1) doi: 10.1186/s13000-023-01375-z
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| 19 |
Yujie Jing, Chen Li, Tianming Du, Tao Jiang, Hongzan Sun, Jinzhu Yang, Liyu Shi, Minghe Gao, Marcin Grzegorzek, Xiaoyan Li. A comprehensive survey of intestine histopathological image analysis using machine vision approaches. Computers in Biology and Medicine 2023; 165 doi: 10.1016/j.compbiomed.2023.107388
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| 20 |
David J Foran, Wenjin Chen, Tahsin Kurc, Rajarshi Gupta, Jakub Roman Kaczmarzyk, Luke Austin Torre-Healy, Erich Bremer, Samuel Ajjarapu, Nhan Do, Gerald Harris, Antoinette Stroup, Eric Durbin, Joel H Saltz. An Intelligent Search & Retrieval System (IRIS) and Clinical and Research Repository for Decision Support Based on Machine Learning and Joint Kernel-based Supervised Hashing. Cancer Informatics 2024; 23 doi: 10.1177/11769351231223806
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| 21 |
Feng Liu, Yating Pan, Xinyi Liao, Yating Deng, Deqiang Cheng, Guanzhen Yu, Ying Chen, Yu Cheng. Whole-slide deep-learning quantification of fibrosis and pathologist-defined proliferative/neoplastic regions in a thioacetamide-induced rat liver model. Frontiers in Artificial Intelligence 2026; 9 doi: 10.3389/frai.2026.1884918
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| 22 |
Albert Alhatem, Trish Wong, W. Clark Lambert. Revolutionizing diagnostic pathology: The emergence and impact of artificial intelligence—what doesn't kill you makes you stronger?. Clinics in Dermatology 2024; 42(3) doi: 10.1016/j.clindermatol.2023.12.020
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| 23 |
Yee Lin Tang, Daniel Dahlmeier. A Review on the Logistics, Financial, Ethical, and Regulatory Frameworks of Artificial Intelligence in Digital Pathology. APMIS 2026; 134(6) doi: 10.1111/apm.70227
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| 24 |
Shen Zhao, Chao-Yang Yan, Hong Lv, Jing-Cheng Yang, Chao You, Zi-Ang Li, Ding Ma, Yi Xiao, Jia Hu, Wen-Tao Yang, Yi-Zhou Jiang, Jun Xu, Zhi-Ming Shao. Deep learning framework for comprehensive molecular and prognostic stratifications of triple-negative breast cancer. Fundamental Research 2024; 4(3) doi: 10.1016/j.fmre.2022.06.008
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| 25 |
Xueqing Wang, Changzhu Zhang, Yanchun Ma, Ziliang Liu, Guoying Liang. Artificial intelligence in gastric cancer research: a bibliometric and visualized analysis from 1993 to 2026. Frontiers in Oncology 2026; 16 doi: 10.3389/fonc.2026.1926967
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| 26 |
Moutaz W Sweileh. AI-Powered histopathology slide image interpretation in oncology: A comprehensive knowledge mapping and bibliometric analysis. DIGITAL HEALTH 2025; 11 doi: 10.1177/20552076251393286
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| 27 |
Aysen Yavuz, Anil Alpsoy, Elif Ocak Gedik, Mennan Yigitcan Celik, Cumhur Ibrahim Bassorgun, Betul Unal, Gulsum Ozlem Elpek. Artificial intelligence applications in predicting the behavior of gastrointestinal cancers in pathology. Artificial Intelligence in Gastroenterology 2022; 3(5): 142-162 doi: 10.35712/aig.v3.i5.142
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| 28 |
Marianne Remke, Tanja Groll, Thomas Metzler, Elisabeth Urbauer, Janine Kövilein, Theresa Schnalzger, Jürgen Ruland, Dirk Haller, Katja Steiger. Histomorphological scoring of murine colitis models: A practical guide for the evaluation of colitis and colitis-associated cancer. Experimental and Molecular Pathology 2024; 140 doi: 10.1016/j.yexmp.2024.104938
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| 29 |
M. M. Kolotilov, V. V. Solodushchenko, B. A. Tarasyuk, V. S. Berezenko. Artificial intelligence and radiological diagnostics in hepatology. The Ukrainian Journal of Clinical Surgery 2025; 92(3) doi: 10.26779/2786-832X.2025.3.62
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| 30 |
Mohammad Haseeb, Md. Mominur Rahman, Mustafa Kamal, Sachin Ghai, Neeru Sidana. AI-Driven Environmental Pollution Management. Climate Risks and Solutions 2025; doi: 10.1007/978-3-031-96243-1_12
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