River Jiang, MD
Postdoctoral Scholar
Medicine
School of Medicine
River Jiang is an advanced echocardiography fellow at the University of California, San Francisco, a fellow in the Clinician Investigator Program at the University of British Columbia, and a student in the Master of Information and Data Science program at the University of California, Berkeley.
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He completed his internal medicine and cardiology training at the University of British Columbia and obtained his MD from McMaster University.
Dr. Jiang is working on applications of machine learning and computer vision for cardiovascular disease phenotyping and prognostication, and his work is supported through the University of British Columbia Friedman Scholarship. He enjoys working on statistical analysis of large datasets within medicine, deep learning, computer vision, and development and validation of predictive AI models.
Awards
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- Clinician Investigator Program, University of British Columbia, 2024-2026
- Friedman Award for Scholars in Health, University of British Columbia, 2024-2026
Education & Training
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- MS (candidate) Master of Information and Data Science University of California, Berkeley 06/2026
- Postdoctoral Scholar University of California, San Francisco 06/2026
- Advanced Echocardiography Fellowship University of California, San Francisco 06/2025
- Adult Cardiology Residency and Chief Residency University of British Columbia 06/2024
- Internal Medicine Residency University of British Columbia 06/2021
- MD Doctor of Medicine McMaster University 05/2018
- HBSc Immunology, Human Biology University of Toronto 04/2015
Websites
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- Personal website (riverjiang.com)
Publications (10)
Top publication keywords:
Jumonji Domain-Containing Histone DemethylasesMachine LearningArrhythmias, CardiacLong QT SyndromeHistone-Lysine N-MethyltransferaseGene Expression Regulation, FungalArtificial IntelligenceVentricular Function, LeftLysineDiastoleSaccharomycetalesHistonesVentricular Dysfunction, LeftSaccharomyces cerevisiae ProteinsFibrin Fibrinogen Degradation Products
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Detecting Arrhythmogenic Right Ventricular Cardiomyopathy From the Electrocardiogram Using Deep Learning.
JACC. Clinical electrophysiology 2025 Sigfstead S, George CJ, Jiang R, Davies B, Ranganathan D, Laksman ZWM, Cadrin-Tourigny J, Tadros R, Khan HR, Atallah J, Steinberg C, Sanatani S, Talajic M, Krishnan RG, Krahn AD, Cheung CC -
Maximising Large Language Model Utility in Cardiovascular Care: A Practical Guide.
The Canadian journal of cardiology 2024 Nolin-Lapalme A, Theriault-Lauzier P, Corbin D, Tastet O, Sharma A, Hussin JG, Kadoury S, Jiang R, Krahn AD, Gallo R, Avram R -
Applying Artificial Intelligence for Phenotyping of Inherited Arrhythmia Syndromes.
The Canadian journal of cardiology 2024 Sigfstead S, Jiang R, Avram R, Davies B, Krahn AD, Cheung CC -
Deep Learning-Augmented ECG Analysis for Screening and Genotype Prediction of Congenital Long QT Syndrome.
JAMA cardiology 2024 Jiang R, Cheung CC, Garcia-Montero M, Davies B, Cao J, Redfearn D, Laksman ZM, Grondin S, Atallah J, Escudero CA, Cadrin-Tourigny J, Sanatani S, Steinberg C, Joza J, Avram R, Tadros R, Krahn AD -
A Novel Continuous Left Ventricular Diastolic Function Score Using Machine Learning.
Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography 2022 Jiang R, Yeung DF, Behnami D, Luong C, Tsang MYC, Jue J, Gin K, Nair P, Abolmaesumi P, Tsang TSM
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Metastatic Melanoma Extending along the Pulmonary Vein into the Left Atrium: A Rare Route of Metastasis Characterized by Transesophageal Echocardiography.
CASE (Philadelphia, Pa.) 2022 Jiang R, Kushneriuk D, Chiu MH -
Impact of the updated diastolic function guidelines in the real world.
International journal of cardiology 2020 Yeung DF, Jiang R, Behnami D, Jue J, Sharma R, Turaga M, Luong CL, Tsang MYC, Gin KG, Girgis H, Lee PK, Nair P, Abolmaesumi P, Tsang TSM -
Comparison of the age-adjusted and clinical probability-adjusted D-dimer to exclude pulmonary embolism in the ED.
The American journal of emergency medicine 2018 Sharif S, Eventov M, Kearon C, Parpia S, Li M, Jiang R, Sneath P, Fuentes CO, Marriott C, de Wit K -
H3K4 Methylation Dependent and Independent Chromatin Regulation by JHD2 and SET1 in Budding Yeast.
G3 (Bethesda, Md.) 2018 Lee KY, Chen Z, Jiang R, Meneghini MD -
Mitochondrial control through nutritionally regulated global histone H3 lysine-4 demethylation.
Scientific reports 2016 Soloveychik M, Xu M, Zaslaver O, Lee K, Narula A, Jiang R, Rosebrock AP, Caudy AA, Meneghini MD