AI-Based Detection and Classification of Anomalous Aortic Origin of Coronary Arteries
This study developed a fully automated AI system that detects anomalous coronary artery origins in CT scans with over 99% accuracy, classifies their anatomical risk, and can alert clinicians to potentially life-threatening cases that might otherwise be missed.
DL-AAOCA
An automated, deep learning-based tool for the detection, classification, and risk assessment of coronary anomaly
multimodars
Toolkit fo fusing cardiac imaging from CCTA, IVUS, OCT, and MRI.
nnUZoo
Open-source benchmarking framework for medical segmentation
AIVUS-CAA
AI-powered software for cardiac IVUS analysis with automated segmentation and gating capabilities.
Christoph Grani
Explore the advanced realm of cardiovascular imaging with Dr. Christoph Gräni, MD, PhD, an esteemed authority in this specialty. Serving as an Extraordinary Professor at the University of Bern and the Director of Cardiovascular Imaging at the University Hospital Bern, he possesses extensive expertise in non-invasive diagnostics and treatment strategies for heart conditions. His pioneering methodologies integrate cutting-edge imaging technologies with artificial intelligence, aiming to transform cardiovascular healthcare. Discover how he employs imaging-based biomarkers and refined diagnostics to improve patient outcomes and influence the future landscape of cardiac medicine.
Isaac Shiri
Discover the groundbreaking work of Dr. Isaac Shiri, a leader in the intersection of artificial intelligence and cardiovascular medicine. At the helm of the AI-CVM Lab, he pioneers innovative machine and deep learning techniques to tackle pressing health challenges. By integrating diverse data sources—from clinical texts to medical images—Dr. Shiri is transforming how we understand and treat cardiovascular diseases. His commitment to open-source tools and collaborative research is paving the way for a more transparent and innovative future in healthcare. Dive deeper into his vision and contributions that are shaping the future of medicine!