Trusted AI in clinical imaging
Sergey Morozov
MD, PhD, MPH · Radiologist · AI implementation strategist
I help hospitals and radiology networks turn medical imaging AI into measurable clinical and financial results, safely and compliantly. Independent, evidence-based, and proven at population scale.
Head of R&D at 3R Swiss Imaging Network. Founder of Medlogic, a boutique advisory practice in Brussels. Earlier, clinical and operational leadership of one of the world's largest centralized radiology networks, serving 13 million people.
About
I trained as a radiologist and spent two decades where imaging, technology, and health systems meet. As a regional Chief Radiology Officer I ran one of the world's largest centralized radiology networks: 13 million people, 100+ facilities, 1,300+ imaging units, and a population-scale AI program across 1.3 million studies.
I then moved to Europe, served as Chief Innovation Officer at a radiology AI platform, and now lead R&D at the 3R Swiss Imaging Network, where multi-vendor AI reached 91% radiologist adoption and roughly 4x return with zero compliance incidents. Through Medlogic I bring that operating experience to other networks: vendor-agnostic, regulation-aware, and focused on results rather than algorithms.
Selected recognition
President, EuSoMII
European Society of Medical Imaging Informatics, 2017 to 2019. Honorary Member 2022. Partnerships Committee Chair 2025 to 2027.Top 1% most cited author in clinical imaging
OpenAlex, 2015 to 2025.Visiting Professor, University of Florida
Department of Radiology, 2025.Steering committee, ODELIA consortium
EU Horizon federated AI grant, EUR 8M total.Principal Investigator, GE Healthcare
Intelligent protocolling for CT, EUR 300K study.
Experience
Head of R&D, 3R Swiss Imaging Network
Founder, Medlogic
Chief Innovation Officer, Osimis
Chief Radiology Officer, regional healthcare system
Professor of Radiology, Sechenov University
Education & credentials
Certified Imaging Informatics Professional (CIIP)
MPH, Harvard Chan School of Public Health
PhD, Sechenov University
MD, magna cum laude, Sechenov University
Advisory (Medlogic)
A four-phase framework for the full AI lifecycle, built for the EU AI Act era. Vendor-agnostic. Engagements run from a two-week scoping to an ongoing governance retainer.
Selected research
Impact of AI assistance on knee MRI reading time: a real-world multicenter study
European Journal of Radiology AI, 2026Methodology for post-marketing surveillance of AI-based Software as a Medical Device
Sovremennye Tehnologii v Medicine, 2022Diagnostic accuracy of AI across 1.3 million imaging studies
medRxiv, 2023International survey on AI in radiology among 1,041 radiologists
European Radiology, 2021Swarm learning enables automatic breast cancer detection in MRI
Communications Medicine, 2025Artificial Intelligence in Medical Imaging: Opportunities, Applications and Risks (editor)
Springer, 2019
How I work with AI
I do not just advise on AI, I run my own practice on it. A few of the systems I built and use daily:
Weekly radiology AI intelligence report
Automated pipeline: literature and industry scan, citation QA, published as a digest.Rad AI Graph
Interactive map of AI monitoring and governance concepts. Open the explorer.Custom agent skills
Governance, peer-review, and reporting workflows. GitHub.
Talks
HLTH Amsterdam 2026
Radiology AI at scale. Slides (PDF)AI implementation at 3R: JFR / EuSoMII / RSNA
Multi-site real-world deployment. Slides (PDF)HaDEA panel, European Commission
Digital health and AI policy. Slides (PDF)
Weekly AI digest
A short weekly brief on what matters in radiology and imaging AI. Read the archive.
Contact
For advisory work, speaking, or collaboration.