For: | Wang PP, Deng CL, Wu B. Magnetic resonance imaging-based artificial intelligence model in rectal cancer. World J Gastroenterol 2021; 27(18): 2122-2130 [PMID: 34025068 DOI: 10.3748/wjg.v27.i18.2122] |
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URL: | https://www.wjgnet.com/2307-8960/full/v27/i18/2122.htm |
Number | Citing Articles |
1 |
Cristian-Constantin Volovat, Dragos-Viorel Scripcariu, Diana Boboc, Simona-Ruxandra Volovat, Ingrid-Andrada Vasilache, Corina Ursulescu-Lupascu, Liliana Gheorghe, Luiza-Maria Baean, Constantin Volovat, Viorel Scripcariu. Machine Learning-Based Algorithms for Enhanced Prediction of Local Recurrence and Metastasis in Low Rectal Adenocarcinoma Using Imaging, Surgical, and Pathological Data. Diagnostics 2024; 14(6): 625 doi: 10.3390/diagnostics14060625
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2 |
Gregor Duwe, Dominique Mercier, Crispin Balthasar Wiesmann, Markus Junker, Axel Haferkamp, Andreas Dengel, Thomas Höfner. Technologien und Technologiemanagement im Gesundheitswesen. 2024; : 699 doi: 10.1007/978-3-658-43860-9_36
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3 |
Bhamini Vadhwana, Munir Tarazi, Vanash Patel. The Role of Artificial Intelligence in Prospective Real-Time Histological Prediction of Colorectal Lesions during Colonoscopy: A Systematic Review and Meta-Analysis. Diagnostics 2023; 13(20): 3267 doi: 10.3390/diagnostics13203267
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4 |
Markus von Wardenburg, Johannes Wessling. Die multiparametrische MRT zum Staging des Rektumkarzinoms – eine
Übersicht. Radiopraxis 2024; 17(01): 7 doi: 10.1055/a-2102-8157
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5 |
Yumeng Zhang, Huaqing Tan, Bin Huang, Xinjian Guo, Yuntai Cao. Application of a combined clinical prediction model based on enhanced T1-weighted image(T1WI) full volume histogram in peripheral nerve invasion (PNI) and lymphatic vessel invasion (LVI) in rectal cancer. Abdominal Radiology 2024; doi: 10.1007/s00261-024-04556-6
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6 |
Francesca Maccioni, Ludovica Busato, Alessandra Valenti, Sara Cardaccio, Alessandro Longhi, Carlo Catalano. Magnetic Resonance Imaging of the Gastrointestinal Tract: Current Role, Recent Advancements and Future Prospectives. Diagnostics 2023; 13(14): 2410 doi: 10.3390/diagnostics13142410
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7 |
Long Wu, Huan Wu, Chen Li, Baofang Zhang, Xiaoyun Li, Yunhuan Zhen, Haiyang Li. Radiomics in colorectal cancer. iRADIOLOGY 2023; 1(3): 236 doi: 10.1002/ird3.29
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8 |
Zhe Zhang, Xiawei Wei. Artificial intelligence-assisted selection and efficacy prediction of antineoplastic strategies for precision cancer therapy. Seminars in Cancer Biology 2023; 90: 57 doi: 10.1016/j.semcancer.2023.02.005
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9 |
Minsung Kim, Taeyong Park, Bo Young Oh, Min Jeong Kim, Bum-Joo Cho, Il Tae Son. Performance reporting design in artificial intelligence studies using image-based TNM staging and prognostic parameters in rectal cancer: a systematic review. Annals of Coloproctology 2024; 40(1): 13 doi: 10.3393/ac.2023.00892.0127
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10 |
Joseph Do Woong Choi, Talia Shepherd, Amy Cao, Toufic El‐Khoury, Nimalan Pathma‐Nathan, James Wei Tatt Toh. Is centralization for rectal cancer surgery necessary?. Colorectal Disease 2024; 26(9): 1753 doi: 10.1111/codi.17119
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11 |
Mengze Xu, Zhiyi Chen, Junxiao Zheng, Qi Zhao, Zhen Yuan. Artificial intelligence-aided optical imaging for cancer theranostics. Seminars in Cancer Biology 2023; 94: 62 doi: 10.1016/j.semcancer.2023.06.003
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12 |
Stephanie Taha-Mehlitz, Silvio Däster, Laura Bach, Vincent Ochs, Markus von Flüe, Daniel Steinemann, Anas Taha. Modern Machine Learning Practices in Colorectal Surgery: A Scoping Review. Journal of Clinical Medicine 2022; 11(9): 2431 doi: 10.3390/jcm11092431
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13 |
Cristian-Constantin Volovat, Dragos-Viorel Scripcariu, Diana Boboc, Simona-Ruxandra Volovat, Ingrid-Andrada Vasilache, Corina Lupascu-Ursulescu, Liliana Gheorghe, Luiza-Maria Baean, Constantin Volovat, Viorel Scripcariu. Predicting the Feasibility of Curative Resection in Low Rectal Cancer: Insights from a Prospective Observational Study on Preoperative Magnetic Resonance Imaging Accuracy. Medicina 2024; 60(2): 330 doi: 10.3390/medicina60020330
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14 |
Gregor Duwe, Dominique Mercier, Crispin Wiesmann, Verena Kauth, Kerstin Moench, Markus Junker, Christopher C. M. Neumann, Axel Haferkamp, Andreas Dengel, Thomas Höfner. Challenges and perspectives in use of artificial intelligence to support treatment recommendations in clinical oncology. Cancer Medicine 2024; 13(12) doi: 10.1002/cam4.7398
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15 |
Xueting Qu, Liang Zhang, Weina Ji, Jizheng Lin, Guohua Wang. Preoperative prediction of tumor budding in rectal cancer using multiple machine learning algorithms based on MRI T2WI radiomics. Frontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1267838
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