For: | Sirtl S, Żorniak M, Hohmann E, Beyer G, Dibos M, Wandel A, Phillip V, Ammer-Herrmenau C, Neesse A, Schulz C, Schirra J, Mayerle J, Mahajan UM. Machine learning-based decision tool for selecting patients with idiopathic acute pancreatitis for endosonography to exclude a biliary aetiology. World J Gastroenterol 2023; 29(35): 5138-5153 [PMID: 37744295 DOI: 10.3748/wjg.v29.i35.5138] |
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URL: | https://www.wjgnet.com/1007-9327/full/v29/i35/5138.htm |
Number | Citing Articles |
1 |
T. G. Dyuzheva, A. P. Shirkunov, P. A. Barbado Mamedova, E. N. Belykh, A. A. Sokolov, A. P. Stepanchenko, A. A. Pashkovskaya, D. I. Kharkov. Acute biliary pancreatitis: severity criteria, role of biliary sludge, treatment. Annaly khirurgicheskoy gepatologii = Annals of HPB Surgery 2024; 29(4): 98 doi: 10.16931/1995-5464.2024-4-98-106
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2 |
Silvia Carrara, Marta Andreozzi, Maria Terrin, Marco Spadaccini. Role of Artificial Intelligence for Endoscopic Ultrasound. Gastrointestinal Endoscopy Clinics of North America 2024; doi: 10.1016/j.giec.2024.10.007
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3 |
Ancuța Năstac, Alexandru Constantinescu, Octavian Andronic, Dan Nicolae Păduraru, Alexandra Bolocan, Bogdan Silviu Ungureanu. The Role of Artificial Intelligence in Endoscopic Ultrasound for Pancreatic Diseases. Gastroenterology Insights 2024; 15(4): 1014 doi: 10.3390/gastroent15040070
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