Florence Xini Doo, MD

2006–2010       B.A., Neuroscience, Wellesley College    
2010–2012       M.A., Graduate Medical Sciences, Boston University
2013–2017       M.D., Oakland University William Beaumont School of Medicine 

Post-Graduate Education and Training                                                                                   

2017–2018       Preliminary-Medicine Residency, Yale-Waterbury Hospital
2018–2022       Diagnostic Radiology Residency, Mt. Sinai West
2022–2023       Body Imaging Fellowship, Stanford University
2022–2023       Informatics fellowship, American College of Radiology (ACR)

Florence (Flo) Doo, M.D., M.A., CIIP, is an abdominal radiologist, clinical informaticist, and physician innovator.

Dr. Doo is an Assistant Professor and serves as Director of Innovation at the University of Maryland Medical Intelligent Imaging (UM2ii) Center in the Department of Diagnostic Radiology & Nuclear Medicine at the University of Maryland School of Medicine, and also leads the medical imaging AI research program at the University of Maryland Institute for Health Computing (UM-IHC).

Dr. Doo’s expertise spans clinical radiology, imaging informatics, AI-driven healthcare innovation, and entrepreneurship. She has held local and national leadership positions with prominent medical societies such as the Radiological Society of North America (RSNA), the American College of Radiology (ACR), and the Society for Advanced Body Imaging (SABI). Dr. Doo also serves as the Vice President of Artificial Intelligence in Radiology Education (AIRE) which provides free AI literacy education, and also serves on Board of Governors of the RadDiscord online educational community. She is a recipient of multiple awards, including the RSNA Roentgen Resident/Fellow Research Award, Alpha Omega Alpha (AOA) medical honor society induction, the American Board of Radiology Volunteer Service Award, and recognition as a semifinalist/finalist for Most Influential Radiology Researcher by AuntMinnie.com ("Minnies," in both 2024 and 2025).

Dr. Doo has authored over 40 peer-reviewed publications*, addressing the intersection of medical imaging, climate impacts on health care delivery, and responsible implementation of AI in clinical practice. Her work is currently funded through several prestigious career development and research grants, including the Association of Academic Radiologists Clinical Effectiveness in Radiology Research Academic Fellowship (AAR CERRAF, a foundation career development award suppoerted by GE Healthcare), the  UMMC Innovation Challenge award (for development of a large language model clinical data chatbot), the Mid-Atlantic Center for Cardiometabolic Health  (MACCH, a Johns Hopkins NIH MHHD P50 Center) project grant, and the NIH/CTSA Johns Hopkins – University of Maryland Baltimore  (UMB ICTR/CTSA) K12 mentored career development grant award.

Her research program focuses on translating technologies to improve clinical patient care, with a focus on safe/trustworthy and sustainable applications of AI and informatics tools.

*For more on Dr. Doo's publications, please see ResearchGate profile or ORCID link below.

abdominal imaging, artificial intelligence (AI), large language models (LLMs), generative AI, agentic AI, deep learning, clinical informatics, AI safety, responsible and trustworthy AI, entrepreneurship, innovation, population health, sustainability, climate health

https://orcid.org/0000-0001-6519-5222