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

- C. G. Raji

- S. S. Vinod Chandra

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

- Mamatha Bhat

- Madhumitha Rabindranath

- Beatriz Sordi Chara

- Douglas A. Simonetto

3.

4.

5. The promise of machine learning applications in solid organ transplantation

- Neta Gotlieb

- Amirhossein Azhie

- Divya Sharma

- Ashley Spann

- Nan-Ji Suo

- Jason Tran

- Ani Orchanian-Cheff

- Bo Wang

- Anna Goldenberg

- Michael Chassé

- Heloise Cardinal

- Joseph Paul Cohen

- Andrea Lodi

- Melanie Dieude

- Mamatha Bhat

6. Application of Artificial Intelligence to Gastroenterology and Hepatology

- Catherine Le Berre

- William J. Sandborn

- Sabeur Aridhi

- Marie-Dominique Devignes

- Laure Fournier

- Malika Smaïl-Tabbone

- Silvio Danese

- Laurent Peyrin-Biroulet

7.

8. Artificial intelligence: Applications in critical care gastroenterology

- Deven Juneja

9. Classification-augmented survival estimation (CASE): A novel method for individualized long-term survival prediction with application to liver transplantation

- Hamed Shourabizadeh

- Dionne M. Aleman

- Louis-Martin Rousseau

- Katina Zheng

- Mamatha Bhat

- Guanghui Liu

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

- Hadi Raeisi Shahraki

- Saeedeh Pourahmad

- Seyyed Mohammad Taghi Ayatollahi

11. Artificial Intelligence in Hepatology- Ready for the Primetime

- Rakesh Kalapala

- Hardik Rughwani

- D. Nageshwar Reddy

12. Application of machine learning in liver transplantation: a review

- Jason Tran

- Divya Sharma

- Neta Gotlieb

- Wei Xu

- Mamatha Bhat

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

- Aref Andishgar

- Sina Bazmi

- Kamran B. 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

14. Spatial inequalities and non-linear association of continuous variables with mortality risk of liver transplantation in Iran: a retrospective cohort study

- Somayeh Kazemimajd

- Ghodratollah Roshanaei

- Leili Tapak

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

- Alberto Ferrarese

- Giuseppe Sartori

- Graziella Orrù

- Anna Chiara Frigo

- Filippo Pelizzaro

- Patrizia Burra

- Marco Senzolo

16. Identifying Important Attributes for Prognostic Prediction in Traumatic Brain Injury Patients

- Saeedeh Pourahmad

- Iman Hafizi-Rastani

- Hosseinali Khalili

- Shahram Paydar

17. The Future Role of Machine Learning in Clinical Transplantation

- Katie L. Connor

- Eoin D. O’Sullivan

- Lorna P. Marson

- Stephen J. Wigmore

- Ewen M. Harrison

18. Artificial Intelligence and the Future of Gastroenterology and Hepatology

- Daniel D. Penrice

- Puru Rattan

- Douglas A. Simonetto

19.

20.

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

- Zhe Zhang

- Ke Huang

- Chenglei Gu

- Luyang Zhao

- Nan Wang

- Xiaolei Wang

- Dongsheng Zhao

- Chenggang Zhang

- Yiming Lu

- Yuanguang Meng

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

- Phillip J. Gary

- Amos Lal

- Douglas A. Simonetto

- Ognjen Gajic

- Alice Gallo de Moraes

23. Artificial Intelligence and liver: Opportunities and barriers

- 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 Santini

- Pietro Invernizzi

- Marco Carbone

- Mario Masarone

- Albino Eccher

- Bruno Siciliano

- Mario Vento

- Fanny Ficuciello

- Federico Cabitza

- Simone Penasa

- Piergiorgio Donatelli

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

- Abdolhossein Zare

- Mohammad Amin Zare

- Neda Zarei

- Ramin Yaghoobi

- Mohammad Ali Zare

- Saeede Salehi

- Bita Geramizadeh

- Seid Ali Malekhosseini

- Negar Azarpira

25. Artificial Intelligence in Liver Diseases: Recent Advances

- Feifei Lu

- Yao Meng

- Xiaoting Song

- Xiaotong Li

- Zhuang Liu

- Chunru Gu

- Xiaojie Zheng

- Yi Jing

- Wei Cai

- Kanokwan Pinyopornpanish

- Andrea Mancuso

- Fernando Gomes Romeiro

- Nahum Méndez-Sánchez

- Xingshun Qi

26.

27. Applications of neural networks in liver transplantation

- Jinwen Meng

- Zhikun Liu

- Xiao Xu

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

- Max Drezga-Kleiminger

- Joanna Demaree-Cotton

- Julian Koplin

- Julian Savulescu

- Dominic Wilkinson

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

- C. G. Raji

- S. S. Vinod Chandra

30.

31.

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

- Aref Abdollahzade

- Hoda Rahimi

- Amir Mahmoud Ahmadzade

- Farnaz Khoshrounejad

- Atefeh Rahimi

- Hossein Jamalirad

- Saeid Eslami

- Mohsen Aliakbarian

- Rozita Khodashahi

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

- C. G. Raji

- S. S. Vinod Chandra

34.

35. Pediatric and adult liver transplantation in Bahrain: The experiences in a country with no available liver transplant facilities

- Hasan M Isa

- Fatema A Alkharsi

- Jawad K Khamis

- Sawsan A Hasan

- Zainab A Naser

- Zainab N Mohamed

- Afaf M Mohamed

- Shaikha A Altamimi