Educational Demo

Deep Neural Networks to Predict Non-Alcoholic Steatohepatitis (NASH) Stages

We have built this medical application for research & educational purposes only.

Age (year)            15-80              Gender (F=0, M=1) 0-1
Body Mass Index 18-44.1 Hepatitis B Vaccine 0-1
Hypertension 0-1 Fatty Liver 0-1
Descriptive Interpretation of Triglycerides 0-1 Fasting Blood Sugar 60-450
Triglycerides 26-561 Cholesterol 86-482
High-density Lipoprotein Cholesterol 5.6-78 Low-density Lipoprotein Cholesterol 40-257
Total Bilirubin 0.2-2.75 Direct Bilirubin 0.1-3.6
Aspartate Aminotransferase 10-84 Alanine Transaminase 6-86
Alkaline Phosphatase 56-620 Gamma-glutamyl Transferase 5-281
Albumin 3.4-5.3 Hepatitis C Antibody 0-1
Thyroid Function (No Disease/Disease Type) 1-3 Diabetes 0-1

Prediction of NASH Stages :

Probability for LE grade 1  


Probability for LE grade 2:


Probability for LE grade 3:


Medical Team-Gastroenterology and Hepatology Behbood Clinic           

Artificial Intelligence Deployment and Production Team

Professor Mohammad Reza Zali
(Fellowship in Gastroenterology, Tulane University, USA and
Distinguished Professor of Gastroenterology and Hepatology)
Professor Mohammad Khoshnevisan
(Affiliated Research Professor, Northeastern University, USA)
Dr Pardis Ketabi Moghadam
(Fellowship in Gastroenterology and
Assistant Professor of Gastroenterology and Hepatology)
Eng Behzad Mohasel Afshari
(Research Assistant and NYILAI’s peer reviewer)
  Professor Behzad Moshiri
(University of Tehran and University of Waterloo, Canada)
 Professor Kosrow Dehnad(Columbia University, USA)