AI-CVM research featured on SRF
SRF covers Bern research showing that AI models predict the course of aortic stenosis and cardiac amyloidosis more accurately than existing risk systems.
AI-CVM research is featured on RSI
RSI reports on two AI-CVM studies showing that AI models predict outcomes in aortic stenosis and cardiac amyloidosis more accurately than established risk scores.
Two AI-CVM studies featured in University of Bern and Inselspital
Two international studies led by the AI in Cardiovascular Medicine (AI-CVM) research group at the Department of Cardiology, Inselspital, Bern University Hospital, and the University of Bern have been highlighted in the latest UNIBE and Inselspital news.
Multimodal Artificial Intelligence-based Long-term Mortality Prediction after Transcatheter Aortic Valve Implantation
This study develops a multimodal artificial intelligence model that predicts how long patients live after a transcatheter aortic valve implantation, learning from clinical, imaging, laboratory, and procedural data from 3991 patients treated in Switzerland and Japan, and shows that it stratifies long-term risk more accurately than the surgical risk scores currently used to counsel patients before the procedure.
Machine Learning–Driven Risk Prediction Model in Transthyretin Amyloid Cardiomyopathy
This study builds a machine learning model that estimates the risk of death or heart failure hospitalization in people with transthyretin amyloid cardiomyopathy, trained on 850 patients from amyloidosis referral centers in Switzerland and Austria, and shows it separates higher from lower risk patients more reliably than the staging systems clinics currently use.
Delays between CE mark and FDA regulatory approval of AI-enabled software for radiology
This study examines how long an artificial intelligence tool for radiology takes to gain approval on both sides of the Atlantic, tracking 239 devices through European CE marking and United States FDA clearance, and finds that products authorized in Europe first typically wait roughly five times longer for their second authorization than those that started in the United States.
HolOrama
An open-source software for multimodal cardiac image analysis
Cardiac-CT Dataset
A cardiac CT dataset covering 14 cardiac structures with expert annotation
CTAug
An open-source Python library of cardiac CT specific data augmentations.
AiMyoCAST
Machine learning tool to estimate individual risk of major heart events after myocarditis.