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.
The 2026 Otto Hess Trainee Award

The Swiss Society of Cardiology honored Dr. Stark’s doctoral thesis on diagnosing hemodynamic relevance in anomalous aortic origin of a coronary artery (AAOCA), a congenital condition that can cause sudden cardiac death. His work pairs a prospective clinical cohort with computational fluid dynamics and two open-source tools, AIVUS-CAA and multimodars, to make accurate AAOCA assessment more accessible beyond specialized centers.
Swiss Heart Foundation Research Prize 2026

Prof. Christoph Gräni was awarded the Cardiology Research Prize 2026 by the Swiss Heart Foundation (Schweizerische Herzstiftung), which was presented on 2 April 2026, in recognition of outstanding contributions to cardiac imaging and prognosis through the integration of artificial intelligence.
CVRC 2026 Best Poster Prize Awarded to Pooya

Pooya received the CVRC 2026 Best Poster Prize (Clinical Category) for his deep learning–based cardiac CT segmentation model.
IEEE Bruce Hasegawa Young Investigator Medical Imaging Science Award 2025

Dr. Isaac Shiri won the IEEE Bruce Hasegawa Young Investigator Award in Medical Imaging Science, which was presented at the IEEE Medical Imaging Conference in Yokohama, Japan, on 4–8 November 2025.
AI Heart Anomaly Detection Featured in The Germany Eye

The article highlights how our pioneering tool for detecting and classifying anomalous aortic origin of coronary arteries via CT scans, developed at University of Bern.
AI-CVM Research Featured in 20 Minuten

Our recent work on AI-based detection and classification of anomalous aortic origin of coronary arteries (AAOCA) using coronary CT angiography has been featured in 20 Minuten.
Young Investigator Award in Valvular Heart Disease at ESC 2024

Isaac has received the Young Investigator Award in Valvular Heart Disease at the European Society of Cardiology Congress (ESC 2024) for developing TAVI-ALPURA.