Geoffrey Huang Tison MD
Clinical Fellow, Medicine, UCSF School of Medicine
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500 Parnassus AveSan Francisco, CA 94143
Phone+1 415-514-0992
Fax+1 415-502-7949
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Education & Training
University of California (San Francisco)Fellowship, Cardiovascular Disease, 2016
Johns Hopkins UniversityResidency, Internal Medicine, 2009 - 2012- Johns Hopkins University School of MedicineClass of 2009
Certifications & Licensure
CA State Medical License 2012 - 2027
American Board of Internal Medicine Internal Medicine- American Board of Internal Medicine Cardiovascular Disease
Awards, Honors, & Recognition
- CMS Meaningful Use Stage 1 Certification EpicCare Ambulatory EHR Suite, Epic Systems Corporation, 2017
Publications & Presentations
PubMed
- A multiview video-text model detects obstructive coronary stenosis and predicts 1-year cardiovascular events from angiography.Sarra Harrabi, Yichen Wu, Omar Majwal, Gabriel Asslo, George Azar
Nature Cardiovascular Research. 2026-10-13 - 1 citationsOpportunistic Chest CT Paraspinal Muscle Biomarkers to Predict Longitudinal Thoracic Vertebral Bone Mineral Density Loss: Results from MESA.Quincy A Hathaway, Elena Ghotbi, Tommy Pan, Sara Momtazmanesh, Joshua G Klein
Radiology. 2026-09-01 - 1 citationsDeep learning prediction of left atrial structure and function from 12-lead electrocardiograms.Jennifer A Brody, Vidhushei Yogeswaran, Kerri L Wiggins, Colleen M Sitlani, Joshua C Bis
Nature Communications. 2026-07-31
Journal Articles
- Finding New Meaning in Everyday Electrocardiograms—Leveraging Deep Learning to Expand Our Diagnostic ToolkitGeoffrey Tison, MD, JAMA Cardiology
- Identifying Heart Failure Using EMR-Based AlgorithmsMark J Pletcher, Geoffrey H Tison, Shannon M Dunlay, ScienceDirect
Press Mentions
Cardiology Conference Featured Innovations from UCSF Health ExpertsApril 10th, 2025- Using AI in Electrocardiogram Analysis Can Improve Diagnosis and Treatment of Hypertrophic CardiomyopathyMarch 7th, 2022
- 'We're in the Messy Adolescence of This Experience': How the Annual Physical Visit Is Shifting to VirtualSeptember 7th, 2021
Grant Support
- A physiologically-focused approach to training multi-modality AI algorithms in medicineUNIVERSITY OF CALIFORNIA, SAN FRANCISCO2023–2028
- Developing a platform for deep phenotyping of heart failure with preserved ejection fraction using raw, widely-available, multi-modality data and artificial intelligence algorithmsUNIVERSITY OF CALIFORNIA, SAN FRANCISCO2022–2025
Professional Memberships
- Member
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