Daniel KvaK · AI in Medicine
AI that works in hospitals.
I build certified AI medical devices for healthcare — from clinical evidence and hospital workflows to product strategy, deployment and scale.
Carebot started with a practical question: how can AI help clinicians detect important findings earlier without forcing hospitals to change the way they work?
500+
hospital visits
Learning from clinicians
and real hospital workflows.
15+
countries
Partnerships across different healthcare systems.
50+
evidence outputs
Publications connecting AI models with clinical evidence.
PhD
research & product
Medical AI and adoption in regulated environments.
About
From AI models to clinical infrastructure.
I am the founder and CTO of Carebot, a leading healthtech company built around a simple idea:
useful AI has to work in clinical practice.
My work sits between medicine, technology and execution. I help turn clinical problems into regulated AI products — not only by building models, but by understanding how hospitals actually work, how clinicians make decisions, and what it takes for new technology to be trusted.
At Carebot, I lead the technical and product direction behind AI solutions across chest X-ray, mammography, musculoskeletal imaging and emerging CT workflows.
Moments
Where the work happens.
European Congress of Radiology
Hospital training
Carebot team
Forbes 30 Under 30
Clinical evidence
Latest publications
Evidence from clinical AI work.
A selection of recent papers and conference evidence across Carebot’s clinical AI portfolio.
Carebot × BMS
AI-supported early detection of lung cancer from chest X-ray
Real-world collaboration evaluating AI-supported triage for suspected thoracic malignancies in routine CXR workflows.
Carebot AI CXR
AI-assisted chest X-ray reading improves sensitivity without reducing specificity
Crossover reader study showing improved CXR detection sensitivity while maintaining diagnostic specificity.
Carebot AI MMG
Does AI add value to mammography?
Multicentre, multi-reader non-inferiority study comparing AI performance with breast radiologists.
Carebot AI Bones
AI assistance reduces missed fractures on musculoskeletal radiographs
Reader-study evidence on AI-assisted fracture detection in musculoskeletal radiographs.
Building something in clinical AI?
For speaking, advisory, clinical research, hospital deployment, pharma collaboration, investor conversations or media requests, reach out directly.
Awarded by
Forbes 30 Under 30
EY Starting Entrepreneur
Deloitte Impact Stars
Pfizer HealthCare Lab
© 2026 Daniel Kvak. All rights reserved. Prague, Czech Republic · danielkvak@gmail.com