For: | Gubatan J, Levitte S, Patel A, Balabanis T, Wei MT, Sinha SR. Artificial intelligence applications in inflammatory bowel disease: Emerging technologies and future directions. World J Gastroenterol 2021; 27(17): 1920-1935 [PMID: 34007130 DOI: 10.3748/wjg.v27.i17.1920] |
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URL: | https://www.wjgnet.com/1007-9327/full/v27/i17/1920.htm |
Number | Citing Articles |
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Jaehoon Jeong, Seung Taek Hong, Ihsan Ullah, Eun Sun Kim, Sang Hyun Park. Classification of the Confocal Microscopy Images of Colorectal Tumor and Inflammatory Colitis Mucosa Tissue Using Deep Learning. Diagnostics 2022; 12(2): 288 doi: 10.3390/diagnostics12020288
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Oswaldo Ortiz Zúñiga, María Gl�ria Fernández Esparrach, María Daca, María Pellisé. Artificial intelligence in gastrointestinal endoscopy: evolution to a new era. Revista Española de Enfermedades Digestivas 2022; doi: 10.17235/reed.2022.8961/2022
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Pedro Cardoso, Miguel Mascarenhas, João Afonso, Tiago Ribeiro, Francisco Mendes, Miguel Martins, Patrícia Andrade, Hélder Cardoso, Miguel Mascarenhas Saraiva, João P.S. Ferreira, Guilherme Macedo. Deep learning and minimally invasive inflammatory activity assessment: a proof-of-concept study for development and score correlation of a panendoscopy convolutional network. Therapeutic Advances in Gastroenterology 2024; 17 doi: 10.1177/17562848241251569
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Stephen Spatz, Claudio L. Afonso. Non-Targeted RNA Sequencing: Towards the Development of Universal Clinical Diagnosis Methods for Human and Veterinary Infectious Diseases. Veterinary Sciences 2024; 11(6): 239 doi: 10.3390/vetsci11060239
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