CyCLE-AI

Critical Care Loop for Evidence-based AI

Artifacts of the CyCLE-AI Team: connecting existing resources and expertise at Charité to transform how we bring AI models from bench to bedside.

Peer-reviewed articles

6 articles, 88 citations

  1. Effects of inflammatory phenotypes in acute respiratory distress syndrome on mortality and partitioning of lung and chest wall mechanics in patients in the USA and Canada: a retrospective cohort study
    The Lancet Respiratory Medicine 2026 3 citations

    Joris Pensier, Maxime Fosset, Béla-Simon Paschold, Dario von Wedel, Massoud Sharif, Ben L. P. Braeuer, Sebastian D. Sahli, Victor Novack, Valerie Goodspeed, Todd Sarge, Boris Jung, Marcelo B. P. Amato, Pratik Sinha, Daniel Talmor, Maximilian S. Schaefer, Elias Baedorf-Kassis

  2. The predicted body weight equation overestimates lung sizes of female, critically ill patients: an analysis of randomized, controlled trials and real-world clinical data
    Intensive Care Medicine 2026 2 citations

    Dario von Wedel, Simone Redaelli, Maxime Fosset, Joris Pensier, Denys Shay, Elena Ahrens, Luca J. Wachtendorf, Eva-Lotte Seibold, Aiman Suleiman, Patricia W. Wu, Seth J. Berkowitz, Tayran Milá, Felix Balzer, Eduardo V. Costa, Boris Jung, Elias N. Baedorf Kassis, Marcelo B. Amato, Daniel Talmor, Maximilian S. Schaefer

  3. Temporal stability of phenotypes of acute respiratory distress syndrome: clinical implications for early corticosteroid therapy and mortality
    Intensive Care Medicine 2025 45 citations

    Joris Pensier, Maxime Fosset, Béla-Simon Paschold, Dario von Wedel, Simone Redaelli, Ben L. P. Braeuer, Victor Novack, Felix Balzer, Boris Jung, Marcelo B. P. Amato, Samir Jaber, Daniel Talmor, Elias Baedorf-Kassis, Maximilian S. Schaefer

  4. Higher mortality in female versus male critically ill patients at comparable thresholds of mechanical power: necessity of normalization to functional lung size
    Intensive Care Medicine 2025 18 citations

    Dario von Wedel, Simone Redaelli, Boris Jung, Elias N. Baedorf-Kassis, Maximilian S. Schaefer, Denys Shay, Maxime Fosset, Max Hentges, Luca J. Wachtendorf, Eva-Lotte Seibold, Aiman Suleiman, Noel Kronenberg, Lisa-Marie Wichelhaus, Guanqing Chen, Lena Novack, Eduardo L. Costa, Daniel Talmor, Marcelo B. P. Amato

  5. Subphenotyping prone position responders with machine learning
    Critical Care 2025 14 citations

    Maxime Fosset, Dario von Wedel, Simone Redaelli, Daniel Talmor, Nicolas Molinari, Julie Josse, Elias N. Baedorf-Kassis, Maximilian S. Schaefer, Boris Jung

GitHub

Team

CyCLE-AI

  • Moritz Thiele Technical Lead
  • Dario von Wedel Research Lead
  • Mirja Mittermaier Clinical Lead

CORR Team

  • Pedram Ramezani CORR Technical Lead, physician researcher
  • Julian Felber Lead of Data Mapping, doctoral researcher
  • Jan-Hendrik B. Hardenberg CORR Fellow, Clinical Expertise Lead
  • Finn Fassbender Doctoral researcher, reprodICU Lead
  • Elias Grünewald Senior researcher and computer scientist
  • Noel Kronenberg Affiliated researcher

Data expertise (IMI)

  • Felix Balzer Director of the Institute of Medical Informatics
  • Akira-Sebastian Poncette Professor of Clinical Implementation Science in Digital Health
  • Finn Fassbender Doctoral researcher, reprodICU Lead
  • Amin Chaoui Physician and research associate

IKIM (Institut für KI in der Medizin)

  • Alexander Meyer Professor of AI in Medicine, Director of IKIM
  • Julian Madrid Physician and researcher

Regulatory expertise

  • Fabian Prasser Professor of Medical Informatics, BIH
  • Thomas Picht Professor of Digital Neurosurgery, Director of CEED
  • Matthias Fehlinger Senior Consultant Regulatory and Clinical Affairs, CEED

Clinical expertise

  • Claudia Spies Director, Anesthesiology and Intensive Care Medicine (CCM/CVK)
  • Sascha Treskatsch Director, Anesthesiology and Intensive Care Medicine (CBF)
  • Kai-Uwe Eckardt Director, Nephrology and Medical Intensive Care
  • Martin Witzenrath Director, Pneumology, Respiratory and Intensive Care Medicine

External collaborators

  • Joris Pensier Anesthesiologist-intensivist, CHU Montpellier
  • Lorenz Kapral Researcher, AI in anaesthesia, Medical University of Vienna