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Cited by in CrossRef
For: Bjørsum-Meyer T, Koulaouzidis A, Baatrup G. Comment on “Artificial intelligence in gastroenterology: A state-of-the-art review”. World J Gastroenterol 2022; 28(16): 1722-1724 [PMID: 35581959 DOI: 10.3748/wjg.v28.i16.1722]
URL: https://www.wjgnet.com/1007-9327/full/v28/i16/1722.htm
Number Citing Articles
1
Ian I. Lei, Gohar J. Nia, Elizabeth White, Hagen Wenzek, Santi Segui, Angus J. M. Watson, Anastasios Koulaouzidis, Ramesh P. Arasaradnam. Clinicians’ Guide to Artificial Intelligence in Colon Capsule Endoscopy—Technology Made SimpleDiagnostics 2023; 13(6): 1038 doi: 10.3390/diagnostics13061038
2
Miguel Mascarenhas, João Afonso, Tiago Ribeiro, Hélder Cardoso, Patrícia Andrade, João P. S. Ferreira, Miguel Mascarenhas Saraiva, Guilherme Macedo. Performance of a Deep Learning System for Automatic Diagnosis of Protruding Lesions in Colon Capsule EndoscopyDiagnostics 2022; 12(6): 1445 doi: 10.3390/diagnostics12061445
3
Sneh Sonaiya, Richard Marino, Klea Agollari, Paranjay Sharma, Madhav Desai. Environmentally sustainable gastroenterology practice: Review of current state and future goalsDigestive Endoscopy 2024; 36(4): 406 doi: 10.1111/den.14688
4
Miguel Mascarenhas, Tiago Ribeiro, João Afonso, Francisco Mendes, Pedro Cardoso, Miguel Martins, João Ferreira, Guilherme Macedo. Smart Endoscopy Is Greener Endoscopy: Leveraging Artificial Intelligence and Blockchain Technologies to Drive Sustainability in Digestive Health CareDiagnostics 2023; 13(24): 3625 doi: 10.3390/diagnostics13243625