Trustworthy Human–AI Systems
How can AI systems work safely with clinicians in real-world clinical environments?
regulatory science · evaluation · reliability · human–AI interaction · fairness · validation · safety · monitoring
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Research
Recent publications
Please contact me if you'd like a copy of a paper or are interested in collaborating.
Decoding the Image: Finding Diagnostic Signals in Multi-Modality Abdominal Artifacts
Human Judgment and the Limits of Artificial Intelligence for Automated Rank Order Lists in Diagnostic Radiology Residency Selection
AMPLIFAI: A Multiphase CT Dataset for Benchmarking Clinical Reasoning in LI-RADS Assessment of Liver Lesions
Effect of Deep Learning Training Policy on Greenhouse Gas Emissions and Carbon Efficiency for Chest Radiograph Classification
Capturing the Clinician-Artificial Intelligence Interaction: A Missing Prerequisite for Human-Centered Artificial Intelligence
Active Research Areas
Frontier Clinical Intelligence
How can emerging AI capabilities expand clinical reasoning, prediction, and care delivery?
multimodal AI · generative AI · foundation models · agents · world models · predictive models · digital twins
Sustainable AI & Radiology
How can AI and medical imaging workflows become more computationally and environmentally efficient?
efficiency · compute · energy · water · cloud infrastructure · contrast media · imaging sustainability · resource use
Medical Imaging, Informatics, & Data
How can medical imaging, multimodal data, and scalable architectures help improve medicine?
imaging informatics · multimodal health data · datasets · interoperability · annotation · benchmarking · workflow
Work with the lab
Students & trainees. Interested in research opportunities or joining ongoing projects? Student / trainee form →
Faculty & industry. For research collaborations, multi-site work, or academic and industry partnerships. Email me →
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Talks
Upcoming conferences & talks
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Invite me to give a talk
Keynotes, panels, grand rounds, workshops, and invited sessions on clinical AI, radiology, and emerging technologies. Talk invitation →
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About
Dr. Florence (Flo) Doo is an abdominal radiologist, imaging informaticist, and Co-Lead of the AI-Enabled Medical Imaging team at the University of Maryland Institute for Health Computing. She holds multiple AI leadership and advisory roles nationally across the RSNA, ACR, and AAR, and internationally as an External Scientific Advisor for the Horizon EU TWIN-X project. As an NIH-funded researcher, her work focuses on translating emerging technologies into safe, trustworthy, and sustainable patient care.
Current appointments
Assistant Professor
Director of Innovation
UM Medical Intelligent Imaging (UM²ii) Center · Department of Diagnostic Radiology & Nuclear Medicine · University of Maryland School of Medicine, Baltimore, MD, USA
Co-Lead, AI-Enabled Medical Imaging
Center for Applied AI (CA2i) · University of Maryland Institute for Health Computing (UM-IHC), North Bethesda, MD, USA
Visiting Assistant Professor
College of Computer, Mathematical & Natural Sciences · University of Maryland, College Park, MD, USA
Education & training
Education
2013–2017
M.D.Oakland University William Beaumont School of Medicine
2010–2012
M.A., Graduate Medical SciencesBoston University
2006–2010
B.A., NeuroscienceWellesley College
Postgraduate & additional training
2024–2025
Graduate Certificate, Data ScienceUniversity of Maryland Baltimore County
2022–2023
Body Imaging FellowshipStanford University ↗
2022–2023
Informatics FellowshipAmerican College of Radiology ↗
2018–2022
Diagnostic Radiology ResidencyMount Sinai West
2017–2018
Preliminary Medicine ResidencyYale–Waterbury Hospital
Selected professional leadership
Radiological Society of North America (RSNA) — Member, Artificial Intelligence Committee, Radiology Informatics Council · Government Relations Committee
Horizon Europe Research and Innovation Action — Member, External Scientific Advisory Board, TWIN-X ↗
Association for Academic Radiology (AAR) / Radiology Research Alliance (RRA) — Founding Chair, Committee on Data Science and Artificial Intelligence (DSAI)
NIH Clinical and Translational Science Awards (CTSA) Working Group — Lead Team Member, Principles for AI Translation in Healthcare (PATH)
Society for Advanced Body Imaging (SABI)–AI in Radiology Education (AIRE) — Vice President, AI Literacy Course
American College of Radiology (ACR) — Member, Committee on Sustainability ↗
Guest editorships
Journal of the American College of Radiology (JACR) — Co-Guest Editor, Focus Issue on Human-Centered AI through Dec 2026
European Journal of Radiology Artificial Intelligence — Co-Guest Editor, Special Issue on Sustainability in AI through Mar 2027
Prior
Journal of the American College of Radiology (JACR) — Guest Editor, Special Issue on Sustainability ended Apr 2026