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Prof. Dr. Alexander Meyer
Research Group Lead / Charité
Prof. Alexander Meyer, MD, is a leading physician-scientist specializing in cardiovascular medicine, data science, and artificial intelligence. He is the Charité Professor for Clinical AI and Data Science at Charité – Universitätsmedizin Berlin, serves as Chief Medical Information Officer at the German Heart Center of the Charité (DHZC), where he oversees digital innovation in patient care. and leads a BIFOLD research group. He also leads DHZC's Clinical Data Science Group and is a board-certified cardiothoracic surgeon.
Before transitioning to medicine, Prof. Meyer worked as a computer scientist and software developer, combining technical expertise with clinical practice. In 2016, he joined the Berlin Institute of Health’s (BIH) Clinician Scientist Program and participated in the Digital Health Accelerator from 2018 to 2020. During this time, he founded x-cardiac GmbH, a digital health company providing real-time biomarkers for postoperative risk stratification.
As a Principal Investigator in major research initiatives, Prof. Meyer focuses on data science and AI to enhance clinical decision-making and outcomes, particularly in cardiovascular care. In 2025, he will become the founding director of the Charité Institute for Artificial Intelligence in Medicine, reflecting his leadership in advancing AI in healthcare.
With numerous high-impact publications and extensive research funding, Prof. Meyer actively contributes to national and international scientific societies, driving innovation in digital health and AI integration in medicine. His work exemplifies the transformative potential of AI in revolutionizing healthcare delivery.
2019 | Young talent award BBGK eV |
2018 | Paper of month – BIH |
2018 | Paper of month – DZHK |
2010 – 2011 | Research year scholarship of the German National Merit Foundation |
2007 – 2012 | Scholarship of the German National Merit Foundation scholarship (“Studienstiftung des deutschen Volkes”) |
2006 | Distinction of the Center of Physiology, Goethe University, Frankfurt, DE |
2003 | Distinction of the Chamber of Industry and Commerce, Aschaffenburg, DE |
- AI-supported clinical decisions support systems
- Data science applications in healthcare
- Deep Learning
- Natural language processing and computer vision on real-time clinical data streams
- EACTS
- BBGK
- LAEKB
Nils Hinrichs, Alexander Meyer, Kerstin Koehler, Thomas Kaas, Meike Hiddemann, Sebastian Spethmann, Felix Balzer, Carsten Eickhoff, Volkmar Falk, Gerhard Hindricks, Nikolaos Dagres, Friedrich Koehler
Artificial intelligence based real-time prediction of imminent heart failure hospitalisation in patients undergoing non-invasive telemedicine
Nils Hinrichs, Tobias Roeschl, Pia Lanmüller, Felix Balzer, Carsten Eickhoff, Benjamin O’Brien, Volkmar Falk, Alexander Meyer
Short-term vital parameter forecasting in the intensive care unit: A benchmark study leveraging data from patients after cardiothoracic surgery
Florian Hellmeier, Kay Brosien, Carsten Eickhoff, Alexander Meyer
Beyond One-Time Validation: A Framework for Adaptive Validation of Prognostic and Diagnostic AI-based Medical Devices
Antonia Popp, Alaa Abd El Al, Marie Hoffmann, Ann Laube, Peter McGranaghan, Volkmar Falk, Anja Hennemuth, Alexander Meyer
Segment-wise Evaluation in X-ray Angiography Stenosis Detection
Tobias Roeschl, Volkmar Falk, Felix Schoenrath, Alexander Meyer
Reply: miRNAs, Endothelin-1 and Endothelial Glycocalyx Disorders in Shock Severity in Postoperative Cardiac Surgery Patients
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x-cardiac receives digitization award
Artificial intelligence-based platform for clinical decision support and digital health in intensive care units - x-cardiac - receives digitization award
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PD Dr. Alexander Meyer appointed as a professor for „Clinical applications of AI and data science“ at Charité
PD Dr. Med. Alexander Meyer, BIFOLD Associated Investigator and Chief Medical Information Officer at German Heart Center Berlin, was appointed as a W2 professor for „Clinical Applications of AI and Data Science“ at Charité Berlin.
His professorship will focus on the application of AI and Data Science in cardiovascular medicine. The Berlin Institute for the Foundations of Learning and Data supports the professorship with two full-time positions for research assistants.