Lab profile
About qurAI
The qurAI group focuses on developing, validating, and clinically integrating socially responsible AI solutions to solve data analysis challenges across different steps of the patient pathway, from prevention and triage through diagnosis and decision making to care delivery and management. The group bridges fundamental AI research and clinical practice with a strong emphasis on image analysis and healthcare data analysis across multiple medical disciplines including radiology, cardiology, and ophthalmology.
01 · Research focus
Research areas and highlights
Topics and recent work as stated on the lab’s own site.
- Brain labDeveloping and bringing AI solutions for the analysis of the brain.
- CARA LabDeveloping trustworthy AI-solutions for real-time analysis of coronary optical coherence tomography (OCT) images.
- Cardiovascular LabDeveloping and bringing AI solutions to cardiovascular disease care.
- Eye LabDeveloping and bringing artificial intelligence solutions to eye care.
- Fetal LabDeveloping and bringing AI solutions to fetal care.
- Gastrointestinal LabDeveloping and bringing AI solutions to subjects with gastrointestinal disorders or diseases.
- Intensive care labDeveloping and bringing AI solutions to support the work of medical personnel in intensive care units.
- Musculoskeletal labDeveloping and bringing AI solutions to musculoskeletal (MSK) diseases.
- Oncology LabDeveloping and bringing AI solutions to improve cancer treatment.
02 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
03 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- 4D Flow MRI-Based Quantification of Tricuspid Regurgitation: A Possible Approach to Improve Measurement Repeatability.Magnetic resonance in medicine · 2026
- Near real-time multi-class segmentation for intravascular optical coherence tomography using knowledge distillation.European heart journal. Digital health · 2026
- Artificial Intelligence-Derived Volumetric High-Risk Plaque Features Are Predominantly Located Proximal to Maximal Luminal Stenosis.Circulation. Cardiovascular interventions · 2026
Clinical-trial records
- Developing Trustworthy Artificial Intelligence (AI)-Driven Tools to Predict Vascular Disease Risk and ProgressionNCT06206369 · Recruiting
04 · Updates
Updates and lab news
News and events from the lab’s own site.
- Simone Saitta awarded NWO Veni grant for probabilistic coronary digital twinsAwardJul 16, 2026 · qurai.amsterdam
- New CARA Lab Study Accepted at ISBI 2026PublicationMar 31, 2026 · qurai.amsterdam
- New Publication Featured in Dutch Government Report for its Strong Potential on Commercial Applications and ImpactNewsDec 11, 2025 · qurai.amsterdam
- MIDL Young Researcher Showcase – Best short oral presentationAwardSep 23, 2025 · qurai.amsterdam
- How AI is Changing Coronary Risk Assessment: the PECTUS-AI StudyPublicationSep 12, 2025 · qurai.amsterdam
- Workshop on Medical Data Annotation Practices – registration openEventMar 24, 2025 · qurai.amsterdam
- qurAI members organised Deep learning workshop at SCCT conferenceEventMar 10, 2025 · qurai.amsterdam
- Dimitrios Karkalousos defends his PhD thesisNewsMar 10, 2025 · qurai.amsterdam
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.