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Kianoosh T Shaabani Sougheh, Dr.
BACKGROUND
Physician and Interventional Cardiologist with more than 25 years of experience in cardiovascular medicine, preventive cardiology, medical education, clinical research, and healthcare innovation. Experienced in integrating digital health technologies, telemedicine, artificial intelligence applications, and patient-centered healthcare solutions into clinical practice. Completed advanced training in Artificial Intelligence in Healthcare through Stanford University and actively pursuing innovative approaches to cardiovascular risk prediction, digital healthcare transformation, remote patient monitoring, and AI-assisted clinical decision support. Recognized for long-term contributions to medical education, healthcare consulting, scientific publication, medical book translation, and interdisciplinary collaboration across medicine, technology, and healthcare management.
OTHER INTERESTS
Artificial Intelligence in Healthcare Predictive Cardiovascular Medicine Digital Health Transformation Telemedicine Systems Remote Diagnostics Preventive Cardiology Cardiometabolic Disorders Cardiovascular Risk Prediction Healthcare Innovation Precision Medicine
RESEARCH
Project title: The Important Role of Obesity in Enhanced Susceptibility to Cardiovascular Diseases
Role: Researcher
Years: 2000-2003
Outcome: published as a poster presentation at the Third International Congress of the Iranian Society of Cardiac Surgeons, 2023
Project title: Cardiac Manifestations in Children with Mucopolysaccharidosis
Role: Researcher
Years: 1990-1994
Outcome: published as a poster presentation at the Children with Mucopolysaccharidosis International Pediatric Disease Congress, 1994
Project title: Investigating the relationship between AIDS (HIV+ infectious) and sexual activities in the occurrence of cardiovascular disorders related to women’s diseases
Role: Researcher
Years: 1995-1998
Outcome: Published in the seminar’s book, also as an oral presentation in Gilan University CME programs, 1998
AI- Projects
Project title: Stroke Prediction Dataset and Model (R)
Role: project main manager
Years: 2025
Outcome: Developed a machine learning model for stroke prediction using R and publicly documented the project on Kaggle.
