Gothenburg Cardiovascular Artificial Intelligence Research
Artificial intelligence for clinical use in cardiovascular medicine
Principal investigator (PI)
Araz Rawshani, MD, PhD, Associate professor
Wallenberg Centre for Molecular and Translational Medicine, Institute of Medicine, University of Gothenburg
Department of Cardiology, Sahlgrenska University Hospital
Researchers, doctoral students, post docs
Vibha Gupta (vibha.gupta@gu.se), PhD, Engineer, post doc
Adam Piasecki, (adam.piasecki@vgregion.se), MD, PhD, post doc
Linnea Gustafsson (linnea.gustafsson@vgregion.se), MD, PhD student
Daniella Isaksén (daniella.isaksen@vgregion.se), MD, PhD student
George Lappas (george.lappas@gu.se), senior statistician
Johan Widing, MD cand, Master student
Pedram Sultanian (pedram.sultanian@gu.se), MD, PhD
Erik Andersson, MD cand, Researcher
Lukas Hilgendorf, MD cand, PhD student
Alfred Hjalmarsson, MD cand, Researcher
Johanna Norell, Engineer, Researcher
Ongoing research projects
End-to-End Deep Learning for the Detection of Coronary Artery Stenosis, Flow-Limiting Plaques and Vulnerable Plaques
Project using 18,000 coronary CT angiographies to create fully-automated interpretation of coronary CT scans.
Fully automated ECG interpretation of acute coronary syndromes
Digital Biology for Cardiometabolic disorders
Creation of the worlds largest curated training set for digital biology in cardiometabolic disease, with the aim of creating deep learning for disease insights and drug discovery.
Semaglutide and Pericoronary Adipose Tissue Inflammation
Download study protocol
Clinical prediction models for survival after cardiac arrest
SCARS-2
Predict 30-days survival after in-of-hospital cardiac arrest.
Currently updating
SCARS-3
Predict long-term survival at discharge after OHCA.
Currently updating
Basic clinical research methods in R and Python
A free online course teaching basic programming and methods in R and Python.
Start: www.Science.nu
By: Araz Rawshani, Aidin Rawshani
