Lab profile
About CAI-X
CAI-X drives and supports research-driven development, evaluation, and implementation of clinical artificial intelligence in healthcare. The center focuses on the entire innovation process from identifying clinical needs to implementing AI solutions in practice, emphasizing patient value, safety, ethics, legal frameworks, and practical application of health technologies.
01 · Research focus
Research areas and highlights
Topics and recent work as stated on the lab’s own site.
- AID_NOTE - Test and assessment of Ambient Scribe solutionsFirst project in Denmark to evaluate two Ambient Scribe, AI-based speech-to-text solutions in a broad clinical setup across specialties and hospitals.
- Intelligent Patient MonitoringTesting an intelligent patient monitoring solution to improve both the safety and well-being of patients who are vulnerable to falling and being seriously injured.
- EUCanScreenEnsuring sustainable implementation of high quality screening programmes for breast, cervical and colorectal cancers in the EU, as well as implementation of recently recommended screening programmes for lung, prostate and gastric cancers.
- ALIVE - analysis of lymph nodes with AIExploring the potential of using AI in pathology by proposing an AI-based system that can screen digital lymph node tissue samples for signs of metastatic cancer.
- PREMIO COLLAB
- The Danish Skin Cancer Model (DaiSiCaM)
- AICE - AI-supported picture analysis in large bowel camera capsule endoscopy
- MAGIC - AI for Breast Cancer Diagnostics
- MAS-AIThe world's first holistic model for assessment of Artificial Intelligence.
- Implementation of clinical artificial intelligence in healthcare in Denmark
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
- Quality Assessment and Model Training Impact of Synthetic Images in Medical Diagnostic Imaging: Systematic Review.JMIR AI · 2026
- Diagnostic accuracy & clinical importance of AI confidence for extremity fracture detection: 2,508-patient retrospective cohort.Emergency radiology · 2026
- From pixels to prediction: improving imaging through AI in rheumatology.EULAR rheumatology open · 2026
04 · Updates
Updates and lab news
News and events from the lab’s own site.
- Find your next collaborators at MedTech Match on 18 June 2026 in OdenseEventJun 1, 2026 · cai-x.com
- MedTech Odense launches two new calls with up to 19 million DKK for health technology innovationAnnouncementMay 22, 2026 · cai-x.com
- Do you work or study within the technical aspects of AI? Then join the 15th Scandinavian Conference on AIEventMar 31, 2026 · cai-x.com
- CAI-X at seminar for healthcare lawyersNewscai-x.com
- Podcast: OUH experts focus on AI in the healthcare systemNewscai-x.com
- Official kickoff of the EUCanScreen projectNewscai-x.com
- Attend Jonas Asgaard Bojsen's PhD DefenceEventcai-x.com
- OUH's innovation centres get important role in supporting new MedTech partnershipNewscai-x.com
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.