Engineering for Health
Welcome to the Institute of Biomedical Engineering (IBT) at Karlsruhe Institute of Technology (KIT). For more than 60 years we have been active in research and teaching in the field of biomedical engineering.
In interdisciplinary projects together with medical doctors and medical industry, we investigate new technical systems that help to diagnose diseases earlier and more accurately as well as systems that make therapies more successful.
The main focus of the research program of Prof. Dr. Werner Nahm's group is optical systems in medicine and life sciences. Current projects are focussing on surgical visualization and optical diagnosis [more].
The group of PD Dr. Axel Loewe develops computational models of the heart and applies them to cardiological problems. We focus on cardiac electrophysiology and elastomechanics to contribute to answer clinical questions such as the genesis of e.g. cardiac arrhythmias and appropriate treatment strategies. Signal processing of cardiac signals (ECG and electrograms), machine learning, and artificial intelligence are further focus fields [more].
A new paper investigating the interactions between reduced extracellular calcium levels and sympathetic stimulation as a compensatory mechanism, potentially contributing to sudden cardiac death in chronic kidney disease patients, has been published in the Journal of Physiology.
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The Gordon Research Seminar and on Cardiac Arrhythmia Mechanisms was held in Barga from February 22 to 27. It covered a wide range of topics, from atrial and ventricular mechanisms to micro- and ultrastructures of individual cardiac muscle cells. Christian, Moritz, and Axel (on behalf of Tobias) presented their work.
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Our recent publication "Consensus Statement on the Credibility Assessment of Machine Learning Predictors" in the journal Briefings in Bioinformatics aims to ensure the reliability and credibility of machine learning models used in clinical and biomedical contexts. Together with other leading experts, we outline a structured framework based on 12 foundational statements and propose rigorous guidelines for evaluating and enhancing the credibility of ML predictors, particularly when used in high-stakes healthcare decisions.
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Dr.-Ing. Cristian Barrios Espinosa successfully defended his doctoral thesis at KIT, advancing Eikonal-based models to improve the accuracy and efficiency of cardiac electrophysiology simulations.
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A new paper introduces the latest version of the DREAM for simulating cardiac arrhythmias. Published in Engineering with Computers, it provides an efficient approach to reentry simulations in cardiac electrophysiology.
Read the full paper here.
Students from the Medical Image Processing for Guidance and Navigation course visited Getinge, a global leader in Hybrid Operating Room development. The visit offered valuable insights into advanced surgical technologies and their practical applications in modern healthcare.