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Cited by in CrossRef
For: Vazquez-Zapien GJ, Mata-Miranda MM, Garibay-Gonzalez F, Sanchez-Brito M. Artificial intelligence model validation before its application in clinical diagnosis assistance. World J Gastroenterol 2022; 28(5): 602-604 [PMID: 35316961 DOI: 10.3748/wjg.v28.i5.602]
URL: https://www.wjgnet.com/1007-9327/full/v28/i5/602.htm
Number Citing Articles
1
Maryam Zolnoori, Sridevi Sridharan, Ali Zolnour, Sasha Vergez, Margaret V McDonald, Zoran Kostic, Kathryn H Bowles, Maxim Topaz. Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcareJournal of the American Medical Informatics Association 2024; 31(2) doi: 10.1093/jamia/ocad195
2
Ghasem Ahangari, Hamid Norioun, Shadi Ghaemi, Alireza Zali. Artificial intelligence in Glioblastoma Diagnostics: Integrating MRI, histopathology, and molecular profilingCancer Treatment and Research Communications 2025; 45 doi: 10.1016/j.ctarc.2025.101040
3
Junhao Wei, Yusuke Miyazaki, Fusako Sato. Pre-crash injury risk prediction with guaranteed confidence level: a conformal and interpretable frameworkTraffic Injury Prevention 2026; 27(5) doi: 10.1080/15389588.2025.2538725
4
Russell Franco D’Souza, Mary Mathew, Vedprakash Mishra, Krishna Mohan Surapaneni. Twelve tips for addressing ethical concerns in the implementation of artificial intelligence in medical educationMedical Education Online 2024; 29(1) doi: 10.1080/10872981.2024.2330250
5
Jason J. Rose, Michael S. Zhang, Jerry Pan, Marc C. Gauthier, Anthony F. Pizon, Melissa I. Saul, Seyed M. Nouraie. Heart-Brain 346-7 Score: the development and validation of a simple mortality prediction score for carbon monoxide poisoning utilizing deep learningClinical Toxicology 2023; 61(7) doi: 10.1080/15563650.2023.2226817
6
Gustavo Jesus Vazquez‐Zapien, Monica Maribel Mata‐Miranda, Adriana Martinez‐Cuazitl, Francisco Garibay‐Gonzalez, Juan Salvador Garcia‐Hernandez, Alberto Lopez‐Reyes, Gabriela Angelica Martinez‐Nava, Laura E. Martinez‐Gomez, Carlos Martinez‐Armenta, Sivakumaran Karthikeyan. Molecular Profiling Thyroid Cancer Using 2T2D‐FTIR Spectroscopy Integrated With Machine Learning ModelsJournal of Biophotonics 2026; 19(6) doi: 10.1002/jbio.70302
7
Ge Wang, Shujiao Zhang, Jie Li, Kai Zhao, Qiang Ding, Dean Tian, Ruixuan Li, Fuhao Zou, Qin Yu. CB‐HRNet: A Class‐Balanced High‐Resolution Network for the evaluation of endoscopic activity in patients with ulcerative colitisClinical and Translational Science 2023; 16(8) doi: 10.1111/cts.13542
8
Sharifah Nurulhikmah Syed Yasin, Aiman Azhar, Rajeswari Raju. Breast Cancer Prediction: A Random Forest-based System with Expert ValidationPertanika Journal of Science and Technology 2025; 33(S3) doi: 10.47836/pjst.33.S3.10
9
Rakhi Negi, Deepti Chopra, Komal Maheshwari, Anushi Mahajan, Dinesh Badyal, Padmini Venkataramani. Artificial intelligence in simulation-based training for Health Professions Education: Navigating the rabbit holeMedical Journal Armed Forces India 2025; 81(6) doi: 10.1016/j.mjafi.2025.08.010
10
Ioannis Gallos, Dimitrios Tryfonopoulos, Gidi Shani, Angelos Amditis, Hossam Haick, Dimitra Dionysiou. Advancing Colorectal Cancer Diagnosis with AI-Powered Breathomics: Navigating Challenges and Future DirectionsDiagnostics 2023; 13(24) doi: 10.3390/diagnostics13243673