Rima Arnaout, MD

Title(s)Associate Professor, Medicine
SchoolSchool of Medicine
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    Collapse Biography 
    Collapse Education and Training
    Massachusetts Institute of Technology, Cambridge, MASBBiology, Bioengineering
    Harvard Medical School, Boston, MAMDMedicine
    Massachusetts General Hospital, Boston, MAInternal Medicine Residency
    University of California, San Francisco, San Francisco, CACardiology Fellowship
    University of California, San Francisco, CA2021Diversity, Equity and Inclusion Champion Training
    Collapse Awards and Honors
    Sarnoff Cardiovascular Research Foundation2013  - 2015Sarnoff Scholar Award
    UCSF2012  - 2013Pierre and Christine Lamond Research Fellow in Cardiology
    NIH2011  - 2013National Institutes of Health Loan Repayment Program Award
    Sarnoff Cardiovascular Research Foundation2005  - 2006Sarnoff Fellow Award
    Voice of America2004  - 2005AAAS Mass Media Science and Engineering Fellowship Award

    Collapse Overview 
    Collapse Overview
    Dr. Rima Arnaout is an Assistant Professor in Medicine (Cardiology) and a member of the Bakar Computational Health Sciences Institute, the Biological and Medical Informatics graduate program, and the Center for Intelligent Imaging. She is a physician-scientist with a background in genetics, clinical research and programming, and a practicing cardiologist board-certified in multi-modality cardiovascular imaging. Improving the resolution and accuracy of cardiovascular phenotypes will lead to novel insights and therapies. Dr. Arnaout is currently developing computational methods to bring precision phenotyping to echocardiography. Her background as a physician-scientist informs the future scope of this work as a technology that can transform non-invasive imaging into a big-data tool for both research and clinical use.
    Collapse Interests

    Collapse Research 
    Collapse Research Activities and Funding
    Improving cardiovascular image-based phenotyping using emerging methods in artificial intelligence
    NIH R01HL150394Apr 1, 2020 - Mar 31, 2025
    Role: Principal Investigator
    Department of Defense Jul 1, 2019 - Jun 30, 2022
    Deep Learning as a New Method for Echocardiographic Data Harmonization in the Cloud
    AHA 17IGMV33870001Oct 1, 2017 - Sep 30, 2019
    Role: Principal Investigator
    Genetics and Structure of Trabecular Myocardium in Development and Disease
    NIH K08HL125945Sep 9, 2015 - Aug 31, 2020
    Role: Principal Investigator
    Adapting GRASP to zebrafish; interrogating the role of endocardial-myocardial interactions on heart development
    UCSF Program for Breakthrough Biomedical Research (PBBR) Jul 1, 2014 - Jun 30, 2016
    Role: Principal Investigator
    Genetic analysis of trabeculated myocardium
    Sarnoff Cardiovascular Research Foundation Scholar Award Aug 1, 2013 - Jul 31, 2015
    Role: Principal Investigator
    Genetic Analyst of Early Conduction System Development
    NIH F32HL110489Aug 1, 2011 - Jul 31, 2013
    Role: Principal Investigator
    Gordon and Betty Moore Foundation
    Chan Zuckerberg Biohub

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    Collapse Twitter

    Collapse Bibliographic 
    Collapse Publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help. to make corrections and additions.
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    Altmetrics Details PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. ChatGPT Helped Me Write This Talk Title, but Can It Read an Echocardiogram? J Am Soc Echocardiogr. 2023 Jul 26. Arnaout R. PMID: 37499771.
      View in: PubMed   Mentions:    Fields:    
    2. Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging: Translation to Patient Care. JACC Cardiovasc Imaging. 2023 09; 16(9):1209-1223. Dey D, Arnaout R, Antani S, Badano A, Jacques L, Li H, Leiner T, Margerrison E, Samala R, Sengupta PP, Shah SJ, Slomka P, Williams MC, Bandettini WP, Sachdev V. PMID: 37480904; PMCID: PMC10524663.
      View in: PubMed   Mentions:    Fields:    Translation:Humans
    3. ENRICHing medical imaging training sets enables more efficient machine learning. J Am Med Inform Assoc. 2023 05 19; 30(6):1079-1090. Chinn E, Arora R, Arnaout R, Arnaout R. PMID: 37036945; PMCID: PMC10198519.
      View in: PubMed   Mentions:    Fields:    Translation:Humans
    4. The (Heart and) Soul of a Human Creation: Designing Echocardiography for the Big Data Age. J Am Soc Echocardiogr. 2023 Jul; 36(7):800-801. Arnaout R, Hahn RT, Hung JW, Jone PN, Lester SJ, Little SH, Mackensen GB, Rigolin V, Sachdev V, Saric M, Sengupta PP, Strom JB, Taub CC, Thamman R, Abraham T. PMID: 37191597.
      View in: PubMed   Mentions:    Fields:    Translation:Humans
    5. Domain-guided data augmentation for deep learning on medical imaging. PLoS One. 2023; 18(3):e0282532. Athalye C, Arnaout R. PMID: 36952442; PMCID: PMC10035842.
      View in: PubMed   Mentions:    Fields:    Translation:Humans
    6. Gender-based time discrepancy in diagnosis of coronary artery disease based on data analytics of electronic medical records. Front Cardiovasc Med. 2022; 9:969325. Panahiazar M, Bishara AM, Chern Y, Alizadehsani R, Islam SMS, Hadley D, Arnaout R, Beygui RE. PMID: 36505372; PMCID: PMC9729739.
      View in: PubMed   Mentions:
    7. Visualizing omicron: COVID-19 deaths vs. cases over time. PLoS One. 2022; 17(4):e0265233. Arnaout R, Arnaout R. PMID: 35439253; PMCID: PMC9017933.
      View in: PubMed   Mentions: 6     Fields:    Translation:HumansCellsPHPublic Health
    8. Mitral Valve Atlas for Artificial Intelligence Predictions of MitraClip Intervention Outcomes. Front Cardiovasc Med. 2021; 8:759675. Dabiri Y, Yao J, Mahadevan VS, Gruber D, Arnaout R, Gentzsch W, Guccione JM, Kassab GS. PMID: 34957251; PMCID: PMC8709129.
      View in: PubMed   Mentions: 4  
    9. Development and Validation of a Deep Learning Strategy for Automated View Classification of Pediatric Focused Assessment With Sonography for Trauma. J Ultrasound Med. 2022 Aug; 41(8):1915-1924. Kornblith AE, Addo N, Dong R, Rogers R, Grupp-Phelan J, Butte A, Gupta P, Callcut RA, Arnaout R. PMID: 34741469; PMCID: PMC9072593.
      View in: PubMed   Mentions: 4     Fields:    Translation:Humans
    10. Can Machine Learning Help Simplify the Measurement of Diastolic Function in Echocardiography? JACC Cardiovasc Imaging. 2021 11; 14(11):2105-2106. Arnaout R. PMID: 34274276; PMCID: PMC8570999.
      View in: PubMed   Mentions:    Fields:    Translation:Humans
    11. An ensemble of neural networks provides expert-level prenatal detection of complex congenital heart disease. Nat Med. 2021 05; 27(5):882-891. Arnaout R, Curran L, Zhao Y, Levine JC, Chinn E, Moon-Grady AJ. PMID: 33990806; PMCID: PMC8380434.
      View in: PubMed   Mentions: 34     Fields:    Translation:HumansPHPublic Health
    12. Intelligence-based medicine. Chang AC, editor. Deep learning for medical ultrasound. 2021. Arnaout R. .
    13. Machine Learning and the Future of Cardiovascular Care: JACC State-of-the-Art Review. J Am Coll Cardiol. 2021 01 26; 77(3):300-313. Quer G, Arnaout R, Henne M, Arnaout R. PMID: 33478654; PMCID: PMC7839163.
      View in: PubMed   Mentions: 64     Fields:    Translation:Humans
    14. Learning epistatic polygenic phenotypes with Boolean interactions. bioRxiv. 2020. Behr M, Kumbier K, Cordova-Palomera A, Aguirre M, Ashley E, Butte A, Arnaout R, Brown B, Priest J, Yu B.
    15. Development and Validation of a Deep Learning Model for Automated View Classification of Pediatric Focused Assessment with Sonography for Trauma (FAST). medRxiv. 2020. Kornblith A, Addo N, Dong R, Rogers R, Grupp-Phelan J, Butte A, Gupta P, Callcut R, Arnaout R. .
    16. Best practices for authors of healthcare-related artificial intelligence manuscripts. NPJ Digit Med. 2020; 3:134. Kakarmath S, Esteva A, Arnaout R, Harvey H, Kumar S, Muse E, Dong F, Wedlund L, Kvedar J. PMID: 33083569; PMCID: PMC7567805.
      View in: PubMed   Mentions: 13  
    17. Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist. Nat Med. 2020 09; 26(9):1320-1324. Norgeot B, Quer G, Beaulieu-Jones BK, Torkamani A, Dias R, Gianfrancesco M, Arnaout R, Kohane IS, Saria S, Topol E, Obermeyer Z, Yu B, Butte AJ. PMID: 32908275; PMCID: PMC7538196.
      View in: PubMed   Mentions: 99     Fields:    Translation:Humans
    18. Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist: Reviewed by the American College of Cardiology Healthcare Innovation Council. JACC Cardiovasc Imaging. 2020 09; 13(9):2017-2035. 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. PMID: 32912474; PMCID: PMC7953597.
      View in: PubMed   Mentions: 35     Fields:    Translation:Humans
    19. Expert-level prenatal detection of complex congenital heart disease from screening ultrasound using deep learning. medRxiv. 2020. Arnaout R, Curran L, Zhao Y, Levine J, Chinn E, Moon-Grady A.
    20. Pregnancy complications and premature cardiovascular events among 1.6 million California pregnancies. Open Heart. 2019; 6(1):e000927. Arnaout R, Nah G, Marcus G, Tseng Z, Foster E, Harris IS, Divanji P, Klein L, Gonzalez J, Parikh N. PMID: 30997125; PMCID: PMC6443129.
      View in: PubMed   Mentions: 10     Fields:    
    21. Toward a clearer picture of health. Nat Med. 2019 Jan; 25(1):12. Arnaout R. PMID: 30613101.
      View in: PubMed   Mentions: 1     Fields:    Translation:Humans
    22. Distinct myocardial lineages break atrial symmetry during cardiogenesis in zebrafish. Elife. 2018 05 15; 7. Guerra A, Germano RF, Stone O, Arnaout R, Guenther S, Ahuja S, Uribe V, Vanhollebeke B, Stainier DY, Reischauer S. PMID: 29762122; PMCID: PMC5953537.
      View in: PubMed   Mentions: 19     Fields:    Translation:Animals
    23. Fast and accurate view classification of echocardiograms using deep learning. NPJ Digit Med. 2018; 1. Madani A, Arnaout R, Mofrad M, Arnaout R. PMID: 30828647; PMCID: PMC6395045.
      View in: PubMed   Mentions: 97  
    24. Neuregulin-1 is essential for nerve plexus formation during cardiac maturation. J Cell Mol Med. 2018 03; 22(3):2007-2017. Brown D, Samsa LA, Ito C, Ma H, Batres K, Arnaout R, Qian L, Liu J. PMID: 29265764; PMCID: PMC5824398.
      View in: PubMed   Mentions: 7     Fields:    Translation:AnimalsCells
    25. LITTLE FISH, BIG DATA: ZEBRAFISH AS A MODEL FOR CARDIOVASCULAR AND METABOLIC DISEASE. Physiol Rev. 2017 07 01; 97(3):889-938. Gut P, Reischauer S, Stainier DYR, Arnaout R. PMID: 28468832; PMCID: PMC5817164.
      View in: PubMed   Mentions: 112     Fields:    Translation:HumansAnimals
    26. Fast and accurate classification of echocardiograms using deep learning. ArXiv e-prints. 2017; (arXiv:1706). Madani A, Arnaout R, Mofrad M, Arnaout R.
    27. Neuregulin-1 is essential for nerve plexus formation during cardiac maturation. Journal of Molecular and Cellular Medicine. doi: 10.1111/jcmm.13408. 2017. Brown D, Samsa L, Ito C, Ma H, Arnaout R, Qian L, Liu J.
    28. A mutation in the atrial-specific myosin light chain gene (MYL4) causes familial atrial fibrillation. Nat Commun. 2016 Apr 12; 7:11303. Orr N, Arnaout R, Gula LJ, Spears DA, Leong-Sit P, Li Q, Tarhuni W, Reischauer S, Chauhan VS, Borkovich M, Uppal S, Adler A, Coughlin SR, Stainier DYR, Gollob MH. PMID: 27066836; PMCID: PMC4832069.
      View in: PubMed   Mentions: 49     Fields:    Translation:HumansAnimalsCells
    29. Recovery of adult zebrafish hearts for high-throughput applications. J Vis Exp. 2014 Dec 12; (94). Arnaout R, Reischauer S, Stainier DY. PMID: 25548868; PMCID: PMC4396955.
      View in: PubMed   Mentions: 6     Fields:    Translation:Animals
    30. Actin binding GFP allows 4D in vivo imaging of myofilament dynamics in the zebrafish heart and the identification of Erbb2 signaling as a remodeling factor of myofibril architecture. Circ Res. 2014 Oct 24; 115(10):845-56. Reischauer S, Arnaout R, Ramadass R, Stainier DY. PMID: 25228389; PMCID: PMC4371144.
      View in: PubMed   Mentions: 36     Fields:    Translation:AnimalsCells
    31. Developmental biology: physics adds a twist to gut looping. Curr Biol. 2011 Oct 25; 21(20):R854-7. Arnaout R, Stainier DY. PMID: 22032191.
      View in: PubMed   Mentions:    Fields:    Translation:Animals
    32. Late Recognition of Malignant Vasovagal Syncope. Card Electrophysiol Clin. 2010 Jun; 2(2):281-283. Arnaout R, Thorson A. PMID: 28770764.
      View in: PubMed   Mentions:    Fields:    
    33. Genetic and physiologic dissection of the vertebrate cardiac conduction system. PLoS Biol. 2008 May 13; 6(5):e109. Chi NC, Shaw RM, Jungblut B, Huisken J, Ferrer T, Arnaout R, Scott I, Beis D, Xiao T, Baier H, Jan LY, Tristani-Firouzi M, Stainier DY. PMID: 18479184; PMCID: PMC2430899.
      View in: PubMed   Mentions: 129     Fields:    Translation:Animals
    34. Zebrafish model for human long QT syndrome. Proc Natl Acad Sci U S A. 2007 Jul 03; 104(27):11316-21. Arnaout R, Ferrer T, Huisken J, Spitzer K, Stainier DY, Tristani-Firouzi M, Chi NC. PMID: 17592134; PMCID: PMC2040896.
      View in: PubMed   Mentions: 101     Fields:    Translation:HumansAnimals
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