Institute of Computer-Assisted Cardiovascular Medicine (ICM)
At the Institute of Computer-Assisted Cardiovascular Medicine (ICM), we develop cutting-edge digital solutions for the medical field, from prevention and early detection to personalised therapy planning with automated decision support systems and follow-up care via telemedicine after hospitalisation.
A key focus is clinical translation, which brings our research directly into patient care and drives the digital transformation of cardiac medicine.
Cutting-edge cardiovascular research
At the ICM, an interdisciplinary team comprising experts in medicine, computer science, mathematics, physics, biology and engineering works closely with the clinics of the Deutsches Herzzentrum der Charité (DHZC) “German Heart Centre of the Charité”. The ICM is also part of regional, national and international scientific networks. Our research and development activities are complemented by diverse industry partnerships that play a central role in translation.
“Our goal is to consistently translate innovative research approaches into real added value for diagnostics, therapy, and patient care. At the German Heart Center at Charité, we are creating an environment in which basic research and clinical practice work closely together on a daily basis.”
Prof. Dr. med. Titus Kühne
“Our goal is to consistently translate innovative research approaches into real added value for diagnostics, therapy, and patient care. At the German Heart Center at Charité, we are creating an environment in which basic research and clinical practice work closely together on a daily basis.”
Prof. Dr. med. Titus Kühne
Research Areas
Digital Image Analysis & Modeling: Innovative image data analysis for multimodal imaging (echo, CT, MRI, angiography, endoscopy)
Cardiovascular Modeling & Simulation: Numerical, hybrid, and AI-supported methods, including virtual human twins
Artificial Organs & Measurement Systems: Innovative technologies for artificial organ systems and test benches
Applied Systems Medicine: Integration of clinical, multi-omics, and image data using data science and AI
