Geoffrey Huang Tison MD

Clinical Fellow, Medicine, UCSF School of Medicine

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

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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

Automated echocardiographic detection of mitral valve prolapse and mitral regurgitation with video-based artificial intelligence algorithms.
Minhaj U Ansari, Joshua P Barrios, Lionel Tastet, Rohit Jhawar, Luca Cristin
European Heart Journal. Digital Health. 2026-06-01
4 citations
Foundation models for electrocardiogram interpretation: clinical implications.
Alexis Nolin-Lapalme, Achille Sowa, Jacques Delfrate, Olivier Tastet, Denis Corbin
European Heart Journal. 2026-05-15
Automated assessment of right ventricular systolic function from coronary angiograms with video-based artificial intelligence algorithms: development, validation, comp...
Fatima Zahra Fawzi, Istok Menkovic, Nicolas Dostie, Maxime Tremblay-Gravel, Marie-Claude Parent
European Heart Journal. Digital Health. 2026-05-01

Journal Articles

Finding New Meaning in Everyday Electrocardiograms—Leveraging Deep Learning to Expand Our Diagnostic Toolkit
Geoffrey Tison, MD, JAMA Cardiology
Identifying Heart Failure Using EMR-Based Algorithms
Mark 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 FRANCISCO2023–2026
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