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Cited by in CrossRef
For: Li YP, Lu TY, Huang FR, Zhang WM, Chen ZQ, Guang PW, Deng LY, Yang XH. Differential diagnosis of Crohn’s disease and intestinal tuberculosis based on ATR-FTIR spectroscopy combined with machine learning. World J Gastroenterol 2024; 30(10): 1377-1392 [PMID: 38596500 DOI: 10.3748/wjg.v30.i10.1377]
URL: https://www.wjgnet.com/1007-9327/full/v30/i10/1377.htm
Number Citing Articles
1
Paulo D. S. Souza, Paola G. Souza, Paulo V. Soares, Robinson Sabino-Silva, Murillo G. Carneiro. Aprendizado de máquina para o diagnóstico da hipersensibilidade dentinária utilizando espectroscopia no infravermelho por transformada de FourierAnais do XXIV Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2024) 2024; : 436 doi: 10.5753/sbcas.2024.2633
2
Kwangbeom Park, Jisup Lim, Seung Hwan Shin, Minkyeong Ryu, Hyungeun Shin, Minyoung Lee, Seung Wook Hong, Sung Wook Hwang, Sang Hyoung Park, Dong‐Hoon Yang, Byong Duk Ye, Seung‐Jae Myung, Suk‐Kyun Yang, Namkug Kim, Jeong‐Sik Byeon. Artificial intelligence‐aided colonoscopic differential diagnosis between Crohn's disease and gastrointestinal tuberculosisJournal of Gastroenterology and Hepatology 2025; 40(1): 115 doi: 10.1111/jgh.16788
3
Shi-Yan Zhang. Navigating new horizons in inflammatory bowel disease: Integrative approaches and innovationsWorld Journal of Gastroenterology 2024; 30(41): 4411-4416 doi: 10.3748/wjg.v30.i41.4411
4
Himanshu Narang, Saurabh Kedia, Vineet Ahuja. New diagnostic strategies to distinguish Crohn's disease and gastrointestinal tuberculosisCurrent Opinion in Infectious Diseases 2024; 37(5): 392 doi: 10.1097/QCO.0000000000001054