Official Journal of Research Center for Gastroenterology and Liver Diseases

e-ISSN 1735-3408

p-ISSN 1735-143X

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44 resultsUpdated October 23, 2026

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Application of Artificial Intelligence to Gastroenterology and Hepatology

Gastroenterology 158(1) (2019)

Catherine Le Berre; William J. Sandborn; Sabeur Aridhi; Marie‐Dominique Devignes; Laure S Fournier; Malika Smaïl‐Tabbone; Silvio Danese; Laurent Peyrin‐Biroulet

Artificial intelligence, machine learning, and deep learning in liver transplantation

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Mamatha Bhat; Madhumitha Rabindranath; Beatriz Sordi Chara; Douglas Alano Simonetto

Application of Artificial Intelligence for the Diagnosis and Treatment of Liver Diseases

Hepatology 73(6) (2020)

Joseph C. Ahn; Alistair Connell; Douglas Alano Simonetto; Cían Hughes; Vijay H. Shah

The promise of machine learning applications in solid organ transplantation

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Artificial Intelligence and liver: Opportunities and barriers

Digestive and Liver Disease 55(11) (2023)

Clara Balsano; Patrizia Burra; Christophe Duvoux; Anna Alisi; Fabio Piscaglia; Alessio Gerussi; Maurizia Rossana Brunetto; Ferruccio Bonino; Roberto Montalti; Silvia Campanile; Marcello Persico; Domenico Alvaro; Silvano Junior Santini; Pietro Invernizzi; Marco Carbone; Mario Masarone; Albino Eccher; Bruno Siciliano; Mario Vento; Fanny Ficuciello; Federico Cabitza; Simone Penasa; Piergiorgio Donatelli

Artificial Intelligence in Hepatology- Ready for the Primetime

Journal of Clinical and Experimental Hepatology 13(1) (2022)

Rakesh Kalapala; Hardik Rughwani; Duvuru Nageshwar Reddy

Artificial Intelligence and the Future of Gastroenterology and Hepatology

Gastro Hep Advances 1(4) (2022)

Daniel D. Penrice; Puru Rattan; Douglas Alano Simonetto

Artificial Intelligence in Liver Diseases: Recent Advances

Advances in Therapy 41(3) (2024)

Feifei Lu; Yao Meng; Xiaoting Song; Xiaotong Li; Zhuang Liu; Chunru Gu; Xiaojie Zheng; Jing Yi; Wei Cai; Kanokwan Pinyopornpanish; Andrea Mancuso; Fernando Gomes Romeiro; Nahúm Méndez‐Sánchez; Xingshun Qi

The Future Role of Machine Learning in Clinical Transplantation

Transplantation 105(4) (2020)

Katie L. Connor; Eoin Daniel O'Sullivan; Lorna Marson; Stephen J. Wigmore; Ewen Munro Harrison

Molecular Subtyping of Serous Ovarian Cancer Based on Multi-omics Data

Scientific Reports 6(1) (2016)

Zhe Zhang; Ke Huang; Chenglei Gu; Luyang Zhao; Nan Wang; Xiaolei Wang; Dongsheng Zhao; Chenggang Zhang; Yiming Lu; Yuanguang Meng

Long-Term Forecasting the Survival in Liver Transplantation Using Multilayer Perceptron Networks

IEEE Transactions on Systems Man and Cybernetics Systems 47(8) (2017)

C. G. Raji; Vinod Chandra S S

Machine learning in liver transplantation: a tool for some unsolved questions?

Transplant International 34(3) (2021)

Alberto Ferrarese; Giuseppe Sartori; Graziella Orrù; Anna Chiara Frigo; Filippo Pelizzaro; Patrizia Burra; Marco Senzolo

Application of machine learning in liver transplantation: a review

Hepatology International 16(3) (2022)

Jason Tran; Divya Sharma; Neta Gotlieb; Wei Xu; Mamatha Bhat

The digital transformation of hepatology: The patient is logged in

Hepatology 75(3) (2022)

Tiffany E. Wu; Douglas Alano Simonetto; John David Halamka; Vijay H. Shah

Should AI allocate livers for transplant? Public attitudes and ethical considerations

BMC Medical Ethics 24(1) (2023)

Max Drezga‐Kleiminger; Joanna Demaree‐Cotton; Julian J. Koplin; Julian Savulescu; Dominic J. C. Wilkinson

Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients

Scientific Reports 15(1) (2025)

Aref Andishgar; Sina Bazmi; Kamran Bagheri Lankarani; Seyed Alireza Taghavi; Mohammad Hadi Imanieh; Gholamreza Sivandzadeh; Samira Saeian; Nazanin Dadashpour; Alireza Shamsaeefar; Mahdi Ravankhah; Hamed Nikoupour Deylami; Reza Tabrizi; Mohammad Hossein Imanieh

A Neural Network Approach to Predict Acute Allograft Rejection in Liver Transplant Recipients Using Routine Laboratory Data

Hepatitis Monthly 17(12) (2017)

Abdolhossein Zare; Mohammad Amin Zare; Neda Zarei; Ramin Yaghoobi; Mohammad Ali Zare; Saeede Salehi; Bita Geramizadeh; Seyed Ali Malek‐Hosseini; Negar Azarpira

Identifying the Prognosis Factors in Death after Liver Transplantation via Adaptive LASSO in Iran

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Hadi Raeisi Shahraki; Saeedeh Pourahmad; Seyyed Mohammad Taghi Ayatollahi

Various Medical Aspects of Liver Transplantation and its Survival Prediction using Machine Learning Techniques

Indian Journal of Science and Technology 10(13) (2017)

C. G. Raji; Vinod Chandra S S

Acute on chronic liver failure: prognostic models and artificial intelligence applications

Hepatology Communications 7(4) (2023)

Phillip J. Gary; Amos Lal; Douglas Alano Simonetto; Ognjen Gajic; Alice Gallo de Moraes

Predictive models for post-liver transplant survival using machine learning techniques in three critical time intervals

Journal of Liver Transplantation 17 (2024)

Aref Abdollahzade; Hoda Rahimi; Amir Mahmoud Ahmadzade; Farnaz Khoshrounejad; Atefeh Rahimi; Hossein Jamalirad; Saeid Eslami; Mohsen Aliakbarian; Rozita Khodashahi

Predicting the survival of graft following liver transplantation using a nonlinear model

Journal of Public Health 24(5) (2016)

C. G. Raji; Vinod Chandra S S

Identifying Important Attributes for Prognostic Prediction in Traumatic Brain Injury Patients

Methods of Information in Medicine 55(05) (2016)

Iman Hafizi-Rastani; Hosseinali Khalili; Shahram Paydar; Saeedeh Pourahmad

Prediction and Survival Analysis of Patients After Liver Transplantation Using RBF Networks

Lecture notes in computer science (2016)

C. G. Raji; Vinod Chandra S S

Applications of neural networks in liver transplantation

iLiver 1(2) (2022)

Jinwen Meng; Zhikun Liu; Xiao Xu

Sarcopenia and frailty: An in-depth analysis of the pathophysiology and effect on liver transplant candidates

World Journal of Hepatology 17(5) (2025)

Grigorios Christodoulidis; Kyriaki Tsagkidou; Dimitra Bartzi; Ioana Alexandra Prisacariu; Eirini Sara Agko; Konstantinos Eleftherios Koumarelas; Dimitrios Zacharoulis