For: | Gomes RSA, de Oliveira GHP, de Moura DTH, Kotinda APST, Matsubayashi CO, Hirsch BS, Veras MO, Ribeiro Jordão Sasso JG, Trasolini RP, Bernardo WM, de Moura EGH. Endoscopic ultrasound artificial intelligence-assisted for prediction of gastrointestinal stromal tumors diagnosis: A systematic review and meta-analysis. World J Gastrointest Endosc 2023; 15(8): 528-539 [PMID: PMC10473903 DOI: 10.4253/wjge.v15.i8.528] |
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URL: | https://www.wjgnet.com/1948-5190/full/v15/i8/528.htm |
Number | Citing Articles |
1 |
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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2 |
Bowen Zha, Angshu Cai, Guiqi Wang. Diagnostic Accuracy of Artificial Intelligence in Endoscopy: Umbrella Review. JMIR Medical Informatics 2024; 12: e56361 doi: 10.2196/56361
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3 |
Dong Chan Joo, Gwang Ha Kim, Moon Won Lee, Bong Eun Lee, Ji Woo Kim, Kwang Baek Kim. Artificial Intelligence-Based Diagnosis of Gastric Mesenchymal Tumors Using Digital Endosonography Image Analysis. Journal of Clinical Medicine 2024; 13(13): 3725 doi: 10.3390/jcm13133725
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