Can artificial intelligence improve the diagnosis and management of patients with eosinophilic esophagitis?

doi:10.3748/wjg.v31.i38.110999

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World Journal of Gastroenterology

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1007-9327

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Gastroenterol. Oct 14, 2025; 31(38): 110999
Published online Oct 14, 2025. doi: 10.3748/wjg.v31.i38.110999

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Figure 1 Performance of emerging technologies and tools in eosinophilic esophagitis diagnosis[24,44,54]. ML: Machine learning; DCNN: Digital convolutional neural network.

Citation: Issa IA, Youssef O, Issa T. Can artificial intelligence improve the diagnosis and management of patients with eosinophilic esophagitis? World J Gastroenterol 2025; 31(38): 110999
URL: https://www.wjgnet.com/1007-9327/full/v31/i38/110999.htm
DOI: https://dx.doi.org/10.3748/wjg.v31.i38.110999

Issa IA, Youssef O, Issa T. Can artificial intelligence improve the diagnosis and management of patients with eosinophilic esophagitis? World J Gastroenterol 2025; 31(38): 110999 [PMID: 41112014 DOI: 10.3748/wjg.v31.i38.110999]

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