Amirhossein Azhie

About Amirhossein Azhie

Amirhossein Azhie, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Liver Transplantation, Hepatology, NASH, Metabolic disease.

His recent articles reflect a diverse array of research interests and contributions to the field:

Harnessing Metabolites as Serum Biomarkers for Liver Graft Pathology Prediction Using Machine Learning

Impact of living donor liver transplantation on long‐term cardiometabolic and graft outcomes in cirrhosis due to nonalcoholic steatohepatitis

A deep learning framework for personalised dynamic diagnosis of graft fibrosis after liver transplantation: a retrospective, single Canadian centre, longitudinal study

Transcriptomic changes in liver transplant recipients with non-alcoholic steatohepatitis indicate dysregulation of wound healing

Development of a Radiomics-Based Model to Predict Graft Fibrosis in Liver Transplant Recipients: A Pilot Study

Artificial intelligence in liver transplantation

The promise of machine learning applications in solid organ transplantation

Divergent trajectories of lean vs obese non-alcoholic steatohepatitis patients from listing to post-transplant: A retrospective cohort study

Amirhossein Azhie Information

University

Position

Multi Organ Transplant Program and Division of Gastroenterology, University Health Network, Toronto

Citations(all)

184

Citations(since 2020)

180

Cited By

3

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Amirhossein Azhie Skills & Research Interests

Liver Transplantation

Hepatology

NASH

Metabolic disease

Top articles of Amirhossein Azhie

Harnessing Metabolites as Serum Biomarkers for Liver Graft Pathology Prediction Using Machine Learning

Metabolites

2024/4/27

Impact of living donor liver transplantation on long‐term cardiometabolic and graft outcomes in cirrhosis due to nonalcoholic steatohepatitis

Clinical Transplantation

2023/9

Amirhossein Azhie
Amirhossein Azhie

H-Index: 1

Shiyi Chen
Shiyi Chen

H-Index: 13

Wei Xu
Wei Xu

H-Index: 19

A deep learning framework for personalised dynamic diagnosis of graft fibrosis after liver transplantation: a retrospective, single Canadian centre, longitudinal study

The Lancet Digital Health

2023/7/1

Transcriptomic changes in liver transplant recipients with non-alcoholic steatohepatitis indicate dysregulation of wound healing

Frontiers in Endocrinology

2023/5/8

Development of a Radiomics-Based Model to Predict Graft Fibrosis in Liver Transplant Recipients: A Pilot Study

Transplant International

2023

Artificial intelligence in liver transplantation

2023/1/1

Amirhossein Azhie
Amirhossein Azhie

H-Index: 1

The promise of machine learning applications in solid organ transplantation

2022/7/11

Divergent trajectories of lean vs obese non-alcoholic steatohepatitis patients from listing to post-transplant: A retrospective cohort study

World Journal of Gastroenterology

2022/7/7

Phase II clinical trial of cabozantinib for the treatment of recurrent hepatocellular carcinoma after liver transplantation

2022/6

Amirhossein Azhie
Amirhossein Azhie

H-Index: 1

Michael Herman
Michael Herman

H-Index: 8

Feasibility of a Home-Based Exercise Program for Managing Posttransplant Metabolic Syndrome in Lung and Liver Transplant Recipients: Protocol for a Pilot Randomized Controlled …

JMIR Research Protocols

2022/3/23

Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study

The Lancet Digital Health

2022/3/1

Characterization and predictive functional profiles on metagenomic 16S rRNA data of liver transplant recipients: A longitudinal study

Clinical Transplantation

2022/2

Predictors of patient survival following liver transplant in non-alcoholic steatohepatitis: A systematic review and meta-analysis

2022/8/1

Amirhossein Azhie
Amirhossein Azhie

H-Index: 1

Ani Orchanian-Cheff
Ani Orchanian-Cheff

H-Index: 9

Combined proteomic/transcriptomic signature of recurrence post-liver transplantation for hepatocellular carcinoma beyond Milan

Clinical Proteomics

2021/12

Metabolic complications in liver transplantation recipients: how we can optimize long‐term survival

2021/10

Long-term mortality risk stratification of liver transplant recipients: real-time application of deep learning algorithms on longitudinal data

The Lancet Digital Health

2021/5/1

Metabolic consequences of solid organ transplantation

2021/4/1

Amirhossein Azhie
Amirhossein Azhie

H-Index: 1

Minna Woo
Minna Woo

H-Index: 28

Identifying modifiable predictors of long‐term survival in liver transplant recipients with diabetes mellitus using machine learning

Liver Transplantation

2021/4

Amirhossein Azhie
Amirhossein Azhie

H-Index: 1

Anna Goldenberg
Anna Goldenberg

H-Index: 25

See List of Professors in Amirhossein Azhie University(University of Toronto)