Geoff Tison, MD, MPH

HS Asst. Clinical Professor

Geoff Tison, M.D. M.P.H. is a Cardiologist and an Associate Professor in the Division of Cardiology at the University of California, San Francisco (UCSF). Dr. Tison earned his Sc.B. in Neuroscience at Brown University and received his M.D. and M.P.H. degrees from the Johns Hopkins Schools of Medicine and Public Health. 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.

Publications:

Artificial Intelligence for Cardiovascular Care - Part 1: Advances: JACC Review Topic of the Week.

Journal of the American College of Cardiology

Elias P, Jain S, Poterucha T, Randazzo M, Lopez Jimenez F, Khera R, Perez M, Ouyang D, Pirruccello J, Salerno M, Einstein A, Avram R, Tison G, Nadkarni G, Natarajan V, Pierson E, Beecy A, Kumaraiah D, Haggerty C, Avari Silva JN, Maddox TM

Artificial Intelligence in Cardiovascular Care - Part 2: Applications: JACC Review Topic of the Week.

Journal of the American College of Cardiology

Jain S, Elias P, Poterucha T, Randazzo M, Lopez Jimenez F, Khera R, Perez M, Ouyang D, Pirruccello J, Salerno M, Einstein A, Avram R, Tison G, Nadkarni G, Natarajan V, Pierson E, Beecy A, Kumaraiah D, Haggerty C, Avari Silva JN, Maddox TM

Continuous Atrial Fibrillation Monitoring From Photoplethysmography: Comparison Between Supervised Deep Learning and Heuristic Signal Processing.

JACC. Clinical electrophysiology

Antiperovitch P, Mortara D, Barrios J, Avram R, Yee K, Khaless AN, Cristal A, Tison G, Olgin J

A generalizable electrocardiogram-based artificial intelligence model for 10-year heart failure risk prediction.

Cardiovascular digital health journal

Butler L, Karabayir I, Kitzman DW, Alonso A, Tison GH, Chen LY, Chang PP, Clifford G, Soliman EZ, Akbilgic O

Patient-Level Artificial Intelligence-Enhanced Electrocardiography in Hypertrophic Cardiomyopathy: Longitudinal Treatment and Clinical Biomarker Correlations.

JACC. Advances

Siontis KC, Abreau S, Attia ZI, Barrios JP, Dewland TA, Agarwal P, Balasubramanyam A, Li Y, Lester SJ, Masri A, Wang A, Sehnert AJ, Edelberg JM, Abraham TP, Friedman PA, Olgin JE, Noseworthy PA, Tison GH

CathAI: fully automated coronary angiography interpretation and stenosis estimation.

NPJ digital medicine

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

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

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

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

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

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

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

Barrios JP, Tison GH

Worldwide physical activity trends since COVID-19 onset.

The Lancet. Global health

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

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, Kumaraiah D, Cohen DJ, Maurer MS, Einstein AJ, Nazif T, Leon MB, Perotte AJ

Assessment of Disease Status and Treatment Response With Artificial Intelligence-Enhanced Electrocardiography in Obstructive Hypertrophic Cardiomyopathy.

Journal of the American College of Cardiology

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

Tison GH

Performance of a Convolutional Neural Network and Explainability Technique for 12-Lead Electrocardiogram Interpretation.

JAMA cardiology

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

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

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

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

Machine learning prediction of blood alcohol concentration: a digital signature of smart-breathalyzer behavior.

NPJ digital medicine

Leveraging innovative technology to generate drug response phenotypes for the advancement of biomarker-driven precision dosing.

Clinical and translational science

Oni-Orisan A, Srinivas N, Mehta K, Lohy Das J, Nguyen TT, Tison GH, Bauer SR, Burian M, Funk RS, Graham RA

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

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

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

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

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, Duchateau N, Kagiyama N, Bernard O, Slomka P, Deo R, Arnaout R

A digital biomarker of diabetes from smartphone-based vascular signals.

Nature medicine

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

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

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

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

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

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

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

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

Tison GH, Marcus GM

Will the smartphone become a useful tool to promote physical activity?

The Lancet. Digital health

Tison GH, Marcus GM

Automated and Interpretable Patient ECG Profiles for Disease Detection, Tracking, and Discovery.

Circulation. Cardiovascular quality and outcomes

Tison GH, Zhang J, Delling FN, Deo RC

Real-world heart rate norms in the Health eHeart study.

NPJ digital medicine

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

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

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

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

Hannun AY, Rajpurkar P, Haghpanahi M, Tison GH, Bourn C, Turakhia MP, Ng AY

Fully Automated Echocardiogram Interpretation in Clinical Practice.

Circulation

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

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

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

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