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Cited by in F6Publishing

For:	Stafford IS, Gosink MM, Mossotto E, Ennis S, Hauben M. A Systematic Review of Artificial Intelligence and Machine Learning Applications to Inflammatory Bowel Disease, with Practical Guidelines for Interpretation. Inflamm Bowel Dis 2022;28:1573-83. [PMID: 35699597 DOI: 10.1093/ibd/izac115] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]

For:

Stafford IS, Gosink MM, Mossotto E, Ennis S, Hauben M. A Systematic Review of Artificial Intelligence and Machine Learning Applications to Inflammatory Bowel Disease, with Practical Guidelines for Interpretation. Inflamm Bowel Dis 2022;28:1573-83. [PMID: 35699597 DOI: 10.1093/ibd/izac115] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]

Number	Citing Articles
1	Guimarães P, Finkler H, Reichert MC, Zimmer V, Grünhage F, Krawczyk M, Lammert F, Keller A, Casper M. Artificial-intelligence-based decision support tools for the differential diagnosis of colitis. Eur J Clin Invest 2023;:e13960. [PMID: 36721878 DOI: 10.1111/eci.13960] [Reference Citation Analysis]
2	Ashton JJ, Cheng G, Stafford IS, Kellermann M, Seaby EG, Cummings JRF, Coelho TAF, Batra A, Afzal NA, Beattie RM, Ennis S. Prediction of Crohn's Disease Stricturing Phenotype Using a NOD2-derived Genomic Biomarker. Inflamm Bowel Dis 2022:izac205. [PMID: 36161322 DOI: 10.1093/ibd/izac205] [Reference Citation Analysis]