Comprehensive Center for AI in Medicine

Medical University of Vienna · Vienna, Austria

CenterFounded 202524 peopleMedical imagingPrecision medicine

Lab profile

About CAIM

CAIM is an interdisciplinary cross-departmental center bringing together researchers in AI, machine learning and medicine. The center explores how machine learning can transform biomedical science and medical care across fields including radiology, pathology, dermatology, surgery, and immunology, while advancing methodology to tackle pressing questions in precision medicine and prevention.

Medical imagingPrecision medicineRadiologyPathologyDermatologySurgeryImmunologyPrevention

01 · Research focus

Research areas and highlights

Topics and recent work as stated on the lab’s own site.

  • WWTF AI_to_BI - Understanding pancreas biology with AI/MLUsing AI/ML to understand pancreas biology.
  • EU ARTEMIS - Accelerating the Translation of virtual twins towards a personalised management of fatty lIver patientsDeveloping virtual twins for personalized fatty liver patient management.
  • GLUCO-SCAN - ERC Consolidator grantDeuterium labeling of Glucose improves magnetic resonance imaging sensitivity to cancer metabolism.
  • EU I(eye)-SCREENA real-world AI-based infrastructure for screening and prediction of progression in age-related macular degeneration providing accessible shared care.
  • EU AI-POD - AI for the Prediction of Obesity-Related Vascular DiseasesUsing AI to predict obesity-related vascular diseases.
  • EU EUCAIM - EUropean Federation for CAncer IMagesEuropean federation for cancer images.
  • CD Lab MLPI - Christian Doppler Laboratory: Machine Learning Driven Precision ImagingMachine learning driven precision imaging research.
  • WWTF MeyeHeart, Retinomics for precision profiling of coronary heart disease riskUsing retinomics for precision profiling of coronary heart disease risk.
  • DS4HEALTH - Digital skills for Healthcare TransformationDeveloping digital skills for healthcare transformation.
  • FWF doc.connect - Platform for brain research using ultra-high field MRI, histology, and AIPlatform for brain research using ultra-high field MRI, histology, and AI.
  • CCC MALBACS - Individualized breast cancer MRI screening in high-risk women enabled by machine learningMachine learning enabled individualized breast cancer MRI screening.
  • CD Lab BIOMAK - Christian Doppler Laboratory for Magnetic Resonance Imaging BiomarkersResearch on magnetic resonance imaging biomarkers.

02 · People

Leadership and researchers

People listed on the lab’s team pages, by role.

Georg LangsDirector · Head of CAIM
Christoph BockCo-Director · Deputy head of CAIM
Oliver KimbergerCo-Director · Deputy head of CAIM
Christoph WildCo-Director · Deputy head of CAIM
Philipp AichingerPI and Executive Board Member
Wolfgang BognerPI
Hrvoje BogunovicPI
Georg DorffnerPI and Executive Board Member
Camila GonzalezPI
Adam GosztolaiPI and Executive Board Member
Gerd HeilemannPI
Harald KittlerPI and Executive Board Member
Roxane LicandroPI
Diana MechtcheriakovaPI
Efstathios MegasPI
Laszlo PappPI

03 · Research intelligence

Research Intelligence evidence

Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.

04 · Updates

Updates and lab news

News and events from the lab’s own site.

05 · Official presence

Lab sources and channels

The lab’s own pages and accounts.

06 · Related

Related labs and centers

Labs at the same institution and labs working on similar topics.