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3801 Miranda AvePalo Alto, CA 94304
Phone+1 650-493-5000
Fax+1 612-294-4903
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Summary
- Dr. Thomas Osborne is a radiologist based in Palo Alto, CA, with subspecialty expertise in neuroradiology. He completed his medical education at the Geisel School of Medicine at Dartmouth in 2001, followed by an internship in internal medicine at St Mary Medical Center, a residency in diagnostic radiology at Mount Auburn Hospital, and a fellowship in neuroradiology at Massachusetts General Hospital/Harvard Medical School. Dr. Osborne is also experienced in health technology and informatics. He has authored numerous publications, including research on deep learning for detecting intracranial hemorrhage, financial hardship following COVID-19 among U.S. veterans, and improvements in postsurgical fall detection. His work has been published in Nature, Science, Radiology, BMC Health Services Research, Journal of General Internal Medicine, and Health Affairs Scholar.
Education & Training
Mass General Brigham/Massachusetts General Hospital/Harvard Medical SchoolFellowship, Neuroradiology, 2006 - 2008
Mount Auburn HospitalResidency, Radiology-Diagnostic, 2002 - 2006
St Mary Medical CenterInternship, Internal Medicine, 2001 - 2002
Geisel School of Medicine at DartmouthClass of 2001
Certifications & Licensure
CA State Medical License 2008 - 2027
IL State Medical License 2009 - 2020
MI State Medical License 2009 - 2019
WI State Medical License 2009 - 2019
WA State Medical License 2008 - 2019
TX State Medical License 2009 - 2019
TN State Medical License 2009 - 2019
American Board of Radiology Diagnostic Radiology
American Board of Radiology Neuroradiology- Join now to see all
Publications & Presentations
PubMed
- AI Cautionary Guide: Pitfalls and Strategies for the Use of Machine Learning in Medical Research.Qi Liu, Ruihao Huang, Hanrui Zhang, Thomas F Osborne
Clinical Pharmacology and Therapeutics. 2026-09-03 - Identification of drug repurposing candidates for amyotrophic lateral sclerosis using electronic health records: a retrospective cohort study.Richard J Reimer, Braden Soper, Jennifer L Wilson, Andre R Goncalves, Jose Cadena
The Lancet. Digital Health. 2026-03-01 - 3 citationsPredicting falls using electronic health records: a time series approach.Peter J Hoover, Terri L Blumke, Anna D Ware, Malvika Pillai, Zachary P Veigulis
JAMIA Open. 2025-10-01
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