Related Experiment Video
Updated: Jul 23, 2025

In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
Successes and challenges of artificial intelligence in cardiology
Bert Vandenberk1,2, Derek S Chew1, Dinesh Prasana3,4
1Department of Cardiac Sciences, Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Abstract:
In the past decades there has been a substantial evolution in data management and data processing techniques. New data architectures made analysis of big data feasible, healthcare is orienting towards personalized medicine with digital health initiatives, and artificial intelligence (AI) is becoming of increasing importance. Despite being a trendy research topic, only very few applications reach the stage where they are implemented in clinical practice. This review provides an overview of current methodologies and identifies clinical and organizational challenges for AI in healthcare.
Related Concept Videos
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Cardiomyopathy V: Interprofessional Care
Cardiomyopathy II: Dilated Cardiomyopathy
Coronary Artery Disease V: Interprofessional Care

