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Cited by in CrossRef
For: Chongo G, Soldera J. Use of machine learning models for the prognostication of liver transplantation: A systematic review. World J Transplant 2024; 14(1): 88891 [PMID: 38576762 DOI: 10.5500/wjt.v14.i1.88891]
URL: https://www.wjgnet.com/2220-3230/full/v14/i1/88891.htm
Number Citing Articles
1
Vakaola I Pulotu Mafi, Jonathan Soldera. Palliative care for end-stage liver disease and acute on chronic liver failure: A systematic reviewWorld Journal of Methodology 2024; 14(4): 95904 doi: 10.5662/wjm.v14.i4.95904
2
Ahmet Ercan Topcu, Ersin Elbasi, Yehia Ibrahim Alzoubi. Machine Learning-Based Analysis and Prediction of Liver Cirrhosis2024 47th International Conference on Telecommunications and Signal Processing (TSP) 2024; : 191 doi: 10.1109/TSP63128.2024.10605929
3
Jonathan Soldera, Leandro Luis Corso, Matheus Machado Rech, Vinícius Remus Ballotin, Lucas Goldmann Bigarella, Fernanda Tomé, Nathalia Moraes, Rafael Sartori Balbinot, Santiago Rodriguez, Ajacio Bandeira de Mello Brandão, Bruno Hochhegger. Predicting major adverse cardiovascular events after orthotopic liver transplantation using a supervised machine learning model: A cohort studyWorld Journal of Hepatology 2024; 16(2): 193-210 doi: 10.4254/wjh.v16.i2.193
4
Intekhab Hossain, Amin Madani, Simon Laplante. Machine learning perioperative applications in visceral surgery: a narrative reviewFrontiers in Surgery 2024; 11 doi: 10.3389/fsurg.2024.1493779
5
Mohamed El-Kassas, Rofida Khalifa, Mohammed A. Medhat, Yusuf Yilmaz, Ali Tumi, Asma Labidi, Maen Almattooq, Faisal M. Sanai, Mohamed Elbadry, Mohammed Omer Mohammed, Mohamed Abdelhakim Mahdy, Nermeen Abdeen, Hend Radwan, Walaa Abdelhamed, Majed Almaghrabi, Mai Fared, Abdel-Naser Elzouki, Khalid A. Alswat, Khalid M. AlNaamani. Mapping artificial intelligence adoption in hepatology practice and research: challenges and opportunities in MENA regionFrontiers in Medicine 2025; 12 doi: 10.3389/fmed.2025.1630831
6
Giuseppe Guido Maria Scarlata, Abdulrahman Ismaiel, Maria Luisa Gambardella, Daniel Corneliu Leucuta, Francesco Luzza, Dan Lucian Dumitrascu, Ludovico Abenavoli. Use of Non-Invasive Biomarkers and Clinical Scores to Predict the Complications of Liver Cirrhosis: A Bicentric ExperienceMedicina 2024; 60(11): 1854 doi: 10.3390/medicina60111854
7
Amankeldi A. Salybekov, Ainur Yerkos, Martin Sedlmayr, Markus Wolfien. Ethics and Algorithms to Navigate AI’s Emerging Role in Organ TransplantationJournal of Clinical Medicine 2025; 14(8): 2775 doi: 10.3390/jcm14082775
8
Udhaya T, Moulitharan M, Arockia Jegan S, Akash M. Liver Disease Prediction Using Novel Ensemble Techniques with Catboost and LightGBM2025 International Conference on Multi-Agent Systems for Collaborative Intelligence (ICMSCI) 2025; : 1388 doi: 10.1109/ICMSCI62561.2025.10894004
9
Sayed Sayem, Sayed Sumsul Islam Sanny, Rupali Hossain, Tanjila Hossen, Md Tauhidur Rahman Sakib, Md Abu Talha. Multi-modal predictive modeling of schizophrenia severity: Leveraging liver function indicators and cognitive scores with random forest and SVMPsychiatry Research: Neuroimaging 2025; 352: 112032 doi: 10.1016/j.pscychresns.2025.112032
10
Feras Al-Obeidat, Wael Hafez, Muneir Gador, Nesma Ahmed, Marwa Muhammed Abdeljawad, Antesh Yadav, Asrar Rashed. Diagnostic performance of AI-based models versus physicians among patients with hepatocellular carcinoma: a systematic review and meta-analysisFrontiers in Artificial Intelligence 2024; 7 doi: 10.3389/frai.2024.1398205
11
Santiago Cabas, Andrea García-López, Andrea Gómez-Montero, Luis Alejandro Anichiarico-Castillo, Juan Andrés Sarmiento-Gallego, Fernando Girón-Luque. Modelos de predicción en trasplantes: Estado del arte y aplicacionesRevista Colombiana de Cirugía 2025;  doi: 10.30944/20117582.2813
12
Yagna Mehta, Saumya Mehta, Vishwa Bhayani, Sankalp Parikh, Rajiv Mehta. Gastroenterology in the age of artificial intelligence: Bridging technology and clinical practiceWorld Journal of Gastroenterology 2025; 31(36): 110549 doi: 10.3748/wjg.v31.i36.110549
13
Subhabrata Sengupta, Satyajit Chakrabarti. Towards a smarter education system: an investigation into ML and DL for information retrievalMultimedia Tools and Applications 2025;  doi: 10.1007/s11042-025-20656-x