Geoff Tison, MD, MPH
Associate Professor
Medicine
School of Medicine

He completed internal medicine residency at the Johns Hopkins Hospital, and subsequently completed fellowships in clinical cardiology, advanced echocardiography and preventive cardiology at UCSF. He also served as the first UCSF “Digital Cardiology” fellow, where his efforts were focused on validating and improving various digital, mobile and medical-device-based technologies to achieve the greatest impact in clinical care and medical research.

Research Interests: Dr. Tison brings expertise in clinical research, advanced machine learning algorithms and digital health to bear to further his research goals in cardiovascular disease prevention. An expert in machine learning and artificial intelligence as applied to medicine, he obtained formal training in epidemiology, statistical methods, machine learning and clinical research during his tenure at the Johns Hopkins Bloomberg School of Public Health and as a National Institutes of Health T32 scholar. He has led multiple research projects in large cohorts such as the Multi-Ethnic Study of Atherosclerosis and the Women’s Health Initiative. Dr. Tison is an investigator in the UCSF Health eHeart study and leads several clinical research studies at UCSF. Dr. Tison’s current interests include applying machine learning and deep-learning techniques to large-scale electronic health data from heterogeneous sources in order to achieve the goal of personalized cardiovascular prognosis and disease prevention.

Clinical Interests: Dr. Tison is a non-invasive cardiologist with expertise in preventive cardiology and advanced echocardiography, including applications of transesophageal echocardiography in structural interventions such as transcatheter aortic valve replacement.

• CathAI: fully automated coronary angiography interpretation and stenosis estimation.
  NPJ digital medicine 2023 Avram R, Olgin JE, Ahmed Z, Verreault-Julien L, Wan A, Barrios J, Abreau S, Wan D, Gonzalez JE, Tardif JC, So DY, Soni K, Tison GH
• Identifying Mitral Valve Prolapse at Risk for Arrhythmias and Fibrosis From Electrocardiograms Using Deep Learning.
  JACC. Advances 2023 Tison GH, Abreau S, Barrios J, Lim LJ, Yang M, Crudo V, Shah DJ, Nguyen T, Hu G, Dixit S, Nah G, Arya F, Bibby D, Lee Y, Delling FN
• Identification of supraventricular tachycardia mechanisms with surface electrocardiograms using a convolutional neural network.
  Heart rhythm O2 2023 Higuchi S, Li R, Gerstenfeld EP, Liem LB, Im SI, Kalantarian S, Ansari M, Abreau S, Barrios J, Scheinman MM, Tison GH
• Interindividual Variability in Self-Monitoring of Blood Pressure Using Consumer-Purchased Wireless Devices.
  Nursing research 2023 Zheng Y, Zhang Y, Huang H, Tison GH, Burke LE, Blecker S, Dickson VV, Olgin JE, Marcus GM, Pletcher MJ
• Automated Assessment of Cardiac Systolic Function From Coronary Angiograms With Video-Based Artificial Intelligence Algorithms.
  JAMA cardiology 2023 Avram R, Barrios JP, Abreau S, Goh CY, Ahmed Z, Chung K, So DY, Olgin JE, Tison GH
• Deep learning augmented ECG analysis to identify biomarker-defined myocardial injury.
  Scientific reports 2023 Chaudhari GR, Mayfield JJ, Barrios JP, Abreau S, Avram R, Olgin JE, Tison GH
• Electrocardiogram Detection of Pulmonary Hypertension Using Deep Learning.
  Journal of cardiac failure 2023 Aras MA, Abreau S, Mills H, Radhakrishnan L, Klein L, Mantri N, Rubin B, Barrios J, Chehoud C, Kogan E, Gitton X, Nnewihe A, Quinn D, Bridges C, Butte AJ, Olgin JE, Tison GH
• Advancing cardiovascular medicine with machine learning: Progress, potential, and perspective.
  Cell reports. Medicine 2022 Barrios JP, Tison GH
• Worldwide physical activity trends since COVID-19 onset.
  The Lancet. Global health 2022 Tison GH, Barrios J, Avram R, Kuhar P, Bostjancic B, Marcus GM, Pletcher MJ, Olgin JE
• Deep Learning Electrocardiographic Analysis for Detection of Left-Sided Valvular Heart Disease.
  Journal of the American College of Cardiology 2022 Elias P, Poterucha TJ, Rajaram V, Moller LM, Rodriguez V, Bhave S, Hahn RT, Tison G, Abreau SA, Barrios J, Torres JN, Hughes JW, Perez MV, Finer J, Kodali S, Khalique O, Hamid N, Schwartz A, Homma S, …
• Assessment of Disease Status and Treatment Response With Artificial Intelligence-Enhanced Electrocardiography in Obstructive Hypertrophic Cardiomyopathy.
  Journal of the American College of Cardiology 2022 Tison GH, Siontis KC, Abreau S, Attia Z, Agarwal P, Balasubramanyam A, Li Y, Sehnert AJ, Edelberg JM, Friedman PA, Olgin JE, Noseworthy PA, PIONEER-OLE Investigators
• Using machine learning to uncover heterogeneity of beta blocker response in heart failure.
  Cell reports. Medicine 2022 Tison GH
• Performance of a Convolutional Neural Network and Explainability Technique for 12-Lead Electrocardiogram Interpretation.
  JAMA cardiology 2021 Hughes JW, Olgin JE, Avram R, Abreau SA, Sittler T, Radia K, Hsia H, Walters T, Lee B, Gonzalez JE, Tison GH
• Predictors of incident SARS-CoV-2 infections in an international prospective cohort study.
  BMJ open 2021 Lin A, Vittinghoff E, Olgin J, Peyser N, Aung S, Joyce S, Yang V, Hwang J, Avram R, Nah G, Tison GH, Beatty A, Runge R, Wen D, Butcher X, Horner C, Eitel H, Pletcher M, Marcus GM
• Predicting Incident Heart Failure in Women With Machine Learning: The Women's Health Initiative Cohort.
  The Canadian journal of cardiology 2021 Tison GH, Avram R, Nah G, Klein L, Howard BV, Allison MA, Casanova R, Blair RH, Breathett K, Foraker RE, Olgin JE, Parikh NI
• Predictors of incident viral symptoms ascertained in the era of COVID-19.
  PloS one 2021 Marcus GM, Olgin JE, Peyser ND, Vittinghoff E, Yang V, Joyce S, Avram R, Tison GH, Wen D, Butcher X, Eitel H, Pletcher MJ
• Finding New Meaning in Everyday Electrocardiograms-Leveraging Deep Learning to Expand Our Diagnostic Toolkit.
  JAMA cardiology 2021 Tison GH
• Machine learning prediction of blood alcohol concentration: a digital signature of smart-breathalyzer behavior.
  NPJ digital medicine 2021 Aschbacher K, Hendershot CS, Tison G, Hahn JA, Avram R, Olgin JE, Marcus GM
• Leveraging innovative technology to generate drug response phenotypes for the advancement of biomarker-driven precision dosing.
  Clinical and translational science 2021 Oni-Orisan A, Srinivas N, Mehta K, Das JL, Nguyen TT, Tison GH, Bauer SR, Burian M, Funk RS, Graham RA, Biomarkers and Translational Tools Community Working Group of the American Society for Clinical …
• Comparison of the Physical Activity Measured by a Consumer Wearable Activity Tracker and That Measured by Self-Report: Cross-Sectional Analysis of the Health eHeart Study.
  JMIR mHealth and uHealth 2020 Beagle AJ, Tison GH, Aschbacher K, Olgin JE, Marcus GM, Pletcher MJ
• Echocardiographic assessment of pulmonary arterial capacitance predicts mortality in pulmonary hypertension.
  Journal of cardiology 2020 Papolos A, Tison GH, Mayfield J, Vasti E, DeMarco T
• Assessment of Accelerometer-Based Physical Activity During the 2017-2018 California Wildfire Seasons.
  JAMA network open 2020 Rosenthal DG, Vittinghoff E, Tison GH, Pletcher MJ, Olgin JE, Grandis DJ, Marcus GM
• Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist: Reviewed by the American College of Cardiology Healthcare Innovation Council.
  JACC. Cardiovascular imaging 2020 Sengupta PP, Shrestha S, Berthon B, Messas E, Donal E, Tison GH, Min JK, D'hooge J, Voigt JU, Dudley J, Verjans JW, Shameer K, Johnson K, Lovstakken L, Tabassian M, Piccirilli M, Pernot M, Yanamala N,…
• A digital biomarker of diabetes from smartphone-based vascular signals.
  Nature medicine 2020 Avram R, Olgin JE, Kuhar P, Hughes JW, Marcus GM, Pletcher MJ, Aschbacher K, Tison GH
• Worldwide Effect of COVID-19 on Physical Activity: A Descriptive Study.
  Annals of internal medicine 2020 Tison GH, Avram R, Kuhar P, Abreau S, Marcus GM, Pletcher MJ, Olgin JE
• Physical activity and atrial fibrillation: Data from wearable fitness trackers.
  Heart rhythm 2020 Semaan S, Dewland TA, Tison GH, Nah G, Vittinghoff E, Pletcher MJ, Olgin JE, Marcus GM
• Atrial fibrillation detection from raw photoplethysmography waveforms: A deep learning application.
  Heart rhythm O2 2020 Aschbacher K, Yilmaz D, Kerem Y, Crawford S, Benaron D, Liu J, Eaton M, Tison GH, Olgin JE, Li Y, Marcus GM
• Artificial Intelligence in Cardiovascular Imaging.
  Methodist DeBakey cardiovascular journal 2020 Lim LJ, Tison GH, Delling FN
• The Rise of Open-Sourced Machine Learning in Small and Imbalanced Datasets: Predicting In-Stent Restenosis.
  The Canadian journal of cardiology 2020 Avram R, Olgin JE, Tison GH
• Pulmonary arterial capacitance predicts outcomes in patients with pulmonary hypertension independent of race/ethnicity, sex, and etiology.
  Respiratory medicine 2020 Mayfield JJ, Papolos A, Vasti E, De Marco T, Tison GH
• Association of Machine Learning-Derived Phenogroupings of Echocardiographic Variables with Heart Failure in Stable Coronary Artery Disease: The Heart and Soul Study.
  Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography 2020 Mishra RK, Tison GH, Fang Q, Scherzer R, Whooley MA, Schiller NB
• Will the smartphone become a useful tool to promote physical activity?
  The Lancet Digital Health 2019 Tison GH, Marcus GM
• Will the smartphone become a useful tool to promote physical activity?
  The Lancet. Digital health 2019 Tison GH, Marcus GM
• Automated and Interpretable Patient ECG Profiles for Disease Detection, Tracking, and Discovery.
  Circulation. Cardiovascular quality and outcomes 2019 Tison GH, Zhang J, Delling FN, Deo RC
• Real-world heart rate norms in the Health eHeart study.
  NPJ digital medicine 2019 Avram R, Tison GH, Aschbacher K, Kuhar P, Vittinghoff E, Butzner M, Runge R, Wu N, Pletcher MJ, Marcus GM, Olgin J
• Echocardiographic determination of pulmonary arterial capacitance.
  The international journal of cardiovascular imaging 2019 Papolos A, Fan E, Wagle RR, Foster E, Boyle AJ, Yeghiazarians Y, MacGregor JS, Grossman W, Schiller NB, Ganz P, Tison GH
• Publisher Correction: Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.
  Nature medicine 2019 Hannun AY, Rajpurkar P, Haghpanahi M, Tison GH, Bourn C, Turakhia MP, Ng AY
• Temporal patterns of self-weighing behavior and weight changes assessed by consumer purchased scales in the Health eHeart Study.
  Journal of behavioral medicine 2019 Zheng Y, Sereika SM, Burke LE, Olgin JE, Marcus GM, Aschbacher K, Tison GH, Pletcher MJ
• Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.
  Nature medicine 2019 Hannun AY, Rajpurkar P, Haghpanahi M, Tison GH, Bourn C, Turakhia MP, Ng AY
• Fully Automated Echocardiogram Interpretation in Clinical Practice.
  Circulation 2018 Zhang J, Gajjala S, Agrawal P, Tison GH, Hallock LA, Beussink-Nelson L, Lassen MH, Fan E, Aras MA, Jordan C, Fleischmann KE, Melisko M, Qasim A, Shah SJ, Bajcsy R, Deo RC
• Identifying heart failure using EMR-based algorithms.
  International journal of medical informatics 2018 Tison GH, Chamberlain AM, Pletcher MJ, Dunlay SM, Weston SA, Killian JM, Olgin JE, Roger VL
• Passive Detection of Atrial Fibrillation Using a Commercially Available Smartwatch.
  JAMA cardiology 2018 Tison GH, Sanchez JM, Ballinger B, Singh A, Olgin JE, Pletcher MJ, Vittinghoff E, Lee ES, Fan SM, Gladstone RA, Mikell C, Sohoni N, Hsieh J, Marcus GM
• Thoracic extra-coronary calcification for the prediction of stroke: The Multi-Ethnic Study of Atherosclerosis.
  Atherosclerosis 2017 Kianoush S, Al Rifai M, Cainzos-Achirica M, Al-Mallah MH, Tison GH, Yeboah J, Miedema MD, Allison MA, Wong ND, DeFilippis AP, Longstreth W, Nasir K, Budoff MJ, Matsushita K, Blaha MJ
• Measurement of brachial artery endothelial function using a standard blood pressure cuff.
  Physiological measurement 2015 Maltz JS, Tison GH, Alley HF, Budinger TF, Owens CD, Olgin J
• Perceptions, Information Sources, and Behavior Regarding Alcohol and Heart Health.
  The American journal of cardiology 2015 Whitman IR, Pletcher MJ, Vittinghoff E, Imburgia KE, Maguire C, Bettencourt L, Sinha T, Parsnick T, Tison GH, Mulvanny CG, Olgin JE, Marcus GM
• Relation of Anthropometric Obesity and Computed Tomography Measured Nonalcoholic Fatty Liver Disease (from the Multiethnic Study of Atherosclerosis).
  The American journal of cardiology 2015 Tison GH, Blaha MJ, Nasir K, Blumenthal RS, Szklo M, Ding J, Budoff MJ
• Multisite extracoronary calcification indicates increased risk of coronary heart disease and all-cause mortality: The Multi-Ethnic Study of Atherosclerosis.
  Journal of cardiovascular computed tomography 2015 Tison GH, Guo M, Blaha MJ, McClelland RL, Allison MA, Szklo M, Wong ND, Blumenthal RS, Budoff MJ, Nasir K
• The relationship of insulin resistance and extracoronary calcification in the multi-ethnic study of atherosclerosis.
  Atherosclerosis 2011 Tison GH, Blaha MJ, Budoff MJ, Katz R, Rivera JJ, Bertoni AG, Wong ND, Blumenthal RS, Szklo M, Eng J, Tracy R, Nasir K
• Usefulness of baseline obesity to predict development of a high ankle brachial index (from the Multi-Ethnic Study of Atherosclerosis).
  The American journal of cardiology 2011 Tison GH, Ndumele CE, Gerstenblith G, Allison MA, Polak JF, Szklo M
• Atherosclerosis imaging in multiple vascular beds--enough heterogeneity to improve risk prediction?
  Atherosclerosis 2010 Tison GH, Blaha MJ, Nasir K
• Influences of general and traditional Chinese beliefs on the decision to donate blood among employer-organized and volunteer donors in Beijing, China.
  Transfusion 2007 Tison GH, Liu C, Ren F, Nelson K, Shan H
• Ethanol impairs insulin-stimulated neuronal survival in the developing brain: role of PTEN phosphatase.
  The Journal of biological chemistry 2003 Xu J, Yeon JE, Chang H, Tison G, Chen GJ, Wands J, de la Monte S