Rima Arnaout, MD

Associate Professor

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.
2021 - Diversity, Equity and Inclusion Champion Training, University of California
MD, - Medicine, Harvard Medical School
- Internal Medicine Residency, Massachusetts General Hospital
SB, - Biology, Bioengineering, Massachusetts Institute of Technology
- Cardiology Fellowship, University of California, San Francisco
Honors and Awards
  • Sarnoff Scholar Award, Sarnoff Cardiovascular Research Foundation, 2013-2015
  • Pierre and Christine Lamond Research Fellow in Cardiology, UCSF, 2012-2013
  • National Institutes of Health Loan Repayment Program Award, NIH, 2011-2013
  • Sarnoff Fellow Award, Sarnoff Cardiovascular Research Foundation, 2005-2006
  • AAAS Mass Media Science and Engineering Fellowship Award, Voice of America, 2004-2005
  1. Arnaout R. ChatGPT Helped Me Write This Talk Title, but Can It Read an Echocardiogram? Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography 2023. PMID: 37499771

  2. 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. Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging: Translation to Patient Care. JACC. Cardiovascular imaging 2023. PMID: 37480904

  3. Chinn E, Arora R, Arnaout R, Arnaout R. ENRICHing medical imaging training sets enables more efficient machine learning. Journal of the American Medical Informatics Association : JAMIA 2023. PMID: 37036945

  4. 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. The (Heart and) Soul of a Human Creation: Designing Echocardiography for the Big Data Age. Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography 2023. PMID: 37191597

  5. Athalye C, Arnaout R. Domain-guided data augmentation for deep learning on medical imaging. PloS one 2023. PMID: 36952442

  6. Panahiazar M, Bishara AM, Chern Y, Alizadehsani R, Islam SMS, Hadley D, Arnaout R, Beygui RE. Gender-based time discrepancy in diagnosis of coronary artery disease based on data analytics of electronic medical records. Frontiers in cardiovascular medicine 2022. PMID: 36505372

  7. Arnaout R, Arnaout R. Visualizing omicron: COVID-19 deaths vs. cases over time. PloS one 2022. PMID: 35439253

  8. Dabiri Y, Yao J, Mahadevan VS, Gruber D, Arnaout R, Gentzsch W, Guccione JM, Kassab GS. Mitral Valve Atlas for Artificial Intelligence Predictions of MitraClip Intervention Outcomes. Frontiers in cardiovascular medicine 2021. PMID: 34957251

  9. Kornblith AE, Addo N, Dong R, Rogers R, Grupp-Phelan J, Butte A, Gupta P, Callcut RA, Arnaout R. Development and Validation of a Deep Learning Strategy for Automated View Classification of Pediatric Focused Assessment With Sonography for Trauma. 2015 Year Book of Pediatrics. Ed. Cabana MD. (Elsevier; Philadelphia, PA) 2021. PMID: 34741469

  10. Arnaout R. Can Machine Learning Help Simplify the Measurement of Diastolic Function in Echocardiography? JACC. Cardiovascular imaging 2021. PMID: 34274276

  11. Arnaout R, Curran L, Zhao Y, Levine JC, Chinn E, Moon-Grady AJ. An ensemble of neural networks provides expert-level prenatal detection of complex congenital heart disease. Nature medicine 2021. PMID: 33990806

  12. Arnaout R.. Intelligence-based medicine. Chang AC, editor Deep learning for medical ultrasound 2021. PMID:

  13. Quer G, Arnaout R, Henne M, Arnaout R. Machine Learning and the Future of Cardiovascular Care: JACC State-of-the-Art Review. Journal of the American College of Cardiology 2021. PMID: 33478654

  14. Behr M, Kumbier K, Cordova-Palomera A, Aguirre M, Ashley E, Butte A, Arnaout R, Brown B, Priest J, Yu B.. Learning epistatic polygenic phenotypes with Boolean interactions bioRxiv 2020. PMID:

  15. Kakarmath S, Esteva A, Arnaout R, Harvey H, Kumar S, Muse E, Dong F, Wedlund L, Kvedar J. Best practices for authors of healthcare-related artificial intelligence manuscripts. NPJ digital medicine 2020. PMID: 33083569

  16. Kornblith A, Addo N, Dong R, Rogers R, Grupp-Phelan J, Butte A, Gupta P, Callcut R, Arnaout R.. Development and Validation of a Deep Learning Model for Automated View Classification of Pediatric Focused Assessment with Sonography for Trauma (FAST) medRxiv 2020. PMID:

  17. 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. Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist. Nature medicine 2020. PMID: 32908275

  18. 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. 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. PMID: 32912474

  19. Arnaout R, Curran L, Zhao Y, Levine J, Chinn E, Moon-Grady A.. Expert-level prenatal detection of complex congenital heart disease from screening ultrasound using deep learning medRxiv 2020. PMID:

  20. Arnaout R, Nah G, Marcus G, Tseng Z, Foster E, Harris IS, Divanji P, Klein L, Gonzalez J, Parikh N. Pregnancy complications and premature cardiovascular events among 1.6 million California pregnancies. Open heart 2019. PMID: 30997125

  21. Arnaout R. Toward a clearer picture of health. Nature medicine 2019. PMID: 30613101

  22. Guerra A, Germano RF, Stone O, Arnaout R, Guenther S, Ahuja S, Uribe V, Vanhollebeke B, Stainier DY, Reischauer S. Distinct myocardial lineages break atrial symmetry during cardiogenesis in zebrafish. eLife 2018. PMID: 29762122

  23. Madani A, Arnaout R, Mofrad M, Arnaout R. Fast and accurate view classification of echocardiograms using deep learning. NPJ digital medicine 2018. PMID: 30828647

  24. Brown D, Samsa LA, Ito C, Ma H, Batres K, Arnaout R, Qian L, Liu J. Neuregulin-1 is essential for nerve plexus formation during cardiac maturation. Journal of cellular and molecular medicine 2017. PMID: 29265764

  25. Gut P, Reischauer S, Stainier DYR, Arnaout R. LITTLE FISH, BIG DATA: ZEBRAFISH AS A MODEL FOR CARDIOVASCULAR AND METABOLIC DISEASE. Physiological reviews 2017. PMID: 28468832

  26. Madani A, Arnaout R, Mofrad M, Arnaout R.. Fast and accurate classification of echocardiograms using deep learning ArXiv e-prints. 2017. PMID:

  27. Brown D, Samsa L, Ito C, Ma H, Arnaout R, Qian L, Liu J.. Neuregulin-1 is essential for nerve plexus formation during cardiac maturation Journal of Molecular and Cellular Medicine. doi: 10.1111/jcmm.13408 2017. PMID:

  28. 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 DY, Gollob MH. A mutation in the atrial-specific myosin light chain gene (MYL4) causes familial atrial fibrillation. Nature communications 2016. PMID: 27066836

  29. Arnaout R, Reischauer S, Stainier DY. Recovery of adult zebrafish hearts for high-throughput applications. Journal of visualized experiments : JoVE 2014. PMID: 25548868

  30. Arnaout R, Stainier DY. Developmental biology: physics adds a twist to gut looping. Current biology : CB 2011. PMID: 22032191

  31. Arnaout R, Thorson A. Late Recognition of Malignant Vasovagal Syncope. Cardiac electrophysiology clinics 2010. PMID: 28770764

  32. 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. Genetic and physiologic dissection of the vertebrate cardiac conduction system. PLoS biology 2008. PMID: 18479184

  33. Arnaout R, Ferrer T, Huisken J, Spitzer K, Stainier DY, Tristani-Firouzi M, Chi NC. Zebrafish model for human long QT syndrome. Proceedings of the National Academy of Sciences of the United States of America 2007. PMID: 17592134