Rima Arnaout, MD
Associate Professor
Medicine
School of Medicine

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.

• Novel Techniques in Imaging Congenital Heart Disease: JACC Scientific Statement.
  Journal of the American College of Cardiology 2024 Sachdeva R, Armstrong AK, Arnaout R, Grosse-Wortmann L, Han BK, Mertens L, Moore RA, Olivieri LJ, Parthiban A, Powell AJ
• greylock: A Python Package for Measuring The Composition of Complex Datasets.
  ArXiv 2023 Nguyen P, Arora R, Hill ED, Braun J, Morgan A, Quintana LM, Mazzoni G, Lee GR, Arnaout R, Arnaout R
• Epistasis regulates genetic control of cardiac hypertrophy.
  Research square 2023 Wang Q, Tang TM, Youlton N, Weldy CS, Kenney AM, Ronen O, Hughes JW, Chin ET, Sutton SC, Agarwal A, Li X, Behr M, Kumbier K, Moravec CS, Tang WHW, Margulies KB, Cappola TP, Butte AJ, Arnaout R, Brown …
• 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 Arnaout R
• Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging: Translation to Patient Care.
  JACC. Cardiovascular imaging 2023 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
• ENRICHing medical imaging training sets enables more efficient machine learning.
  Journal of the American Medical Informatics Association : JAMIA 2023 Chinn E, Arora R, Arnaout R, Arnaout R
• 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 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
• Domain-guided data augmentation for deep learning on medical imaging.
  PloS one 2023 Athalye C, Arnaout R
• Deep learning model for prenatal congenital heart disease (CHD) screening generalizes to the community setting and outperforms clinical detection.
  medRxiv : the preprint server for health sciences 2023 Athalye C, van Nisselrooij A, Rizvi S, Haak M, Moon-Grady AJ, Arnaout R
• Gender-based time discrepancy in diagnosis of coronary artery disease based on data analytics of electronic medical records.
  Frontiers in cardiovascular medicine 2022 Panahiazar M, Bishara AM, Chern Y, Alizadehsani R, Islam SMS, Hadley D, Arnaout R, Beygui RE
• Visualizing omicron: COVID-19 deaths vs. cases over time.
  PloS one 2022 Arnaout R, Arnaout R
• Mitral Valve Atlas for Artificial Intelligence Predictions of MitraClip Intervention Outcomes.
  Frontiers in cardiovascular medicine 2021 Dabiri Y, Yao J, Mahadevan VS, Gruber D, Arnaout R, Gentzsch W, Guccione JM, Kassab GS
• Development and Validation of a Deep Learning Strategy for Automated View Classification of Pediatric Focused Assessment With Sonography for Trauma.
  Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine 2021 Kornblith AE, Addo N, Dong R, Rogers R, Grupp-Phelan J, Butte A, Gupta P, Callcut RA, Arnaout R
• Can Machine Learning Help Simplify the Measurement of Diastolic Function in Echocardiography?
  JACC. Cardiovascular imaging 2021 Arnaout R
• An ensemble of neural networks provides expert-level prenatal detection of complex congenital heart disease.
  Nature medicine 2021 Arnaout R, Curran L, Zhao Y, Levine JC, Chinn E, Moon-Grady AJ
• Intelligence-based medicine. Chang AC, editor
  Deep learning for medical ultrasound 2021 Arnaout R.
• Machine Learning and the Future of Cardiovascular Care: JACC State-of-the-Art Review.
  Journal of the American College of Cardiology 2021 Quer G, Arnaout R, Henne M, Arnaout R
• 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.
• Best practices for authors of healthcare-related artificial intelligence manuscripts.
  NPJ digital medicine 2020 Kakarmath S, Esteva A, Arnaout R, Harvey H, Kumar S, Muse E, Dong F, Wedlund L, Kvedar J
• 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.
• Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist.
  Nature medicine 2020 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
• 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,…
• 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.
• Pregnancy complications and premature cardiovascular events among 1.6 million California pregnancies.
  Open heart 2019 Arnaout R, Nah G, Marcus G, Tseng Z, Foster E, Harris IS, Divanji P, Klein L, Gonzalez J, Parikh N
• Toward a clearer picture of health.
  Nature medicine 2019 Arnaout R
• Distinct myocardial lineages break atrial symmetry during cardiogenesis in zebrafish.
  eLife 2018 Guerra A, Germano RF, Stone O, Arnaout R, Guenther S, Ahuja S, Uribe V, Vanhollebeke B, Stainier DY, Reischauer S
• Fast and accurate view classification of echocardiograms using deep learning.
  NPJ digital medicine 2018 Madani A, Arnaout R, Mofrad M, Arnaout R
• Neuregulin-1 is essential for nerve plexus formation during cardiac maturation.
  Journal of cellular and molecular medicine 2017 Brown D, Samsa LA, Ito C, Ma H, Batres K, Arnaout R, Qian L, Liu J
• LITTLE FISH, BIG DATA: ZEBRAFISH AS A MODEL FOR CARDIOVASCULAR AND METABOLIC DISEASE.
  Physiological reviews 2017 Gut P, Reischauer S, Stainier DYR, Arnaout R
• Fast and accurate classification of echocardiograms using deep learning
  ArXiv e-prints. 2017 Madani A, Arnaout R, Mofrad M, Arnaout R.
• 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.
• A mutation in the atrial-specific myosin light chain gene (MYL4) causes familial atrial fibrillation.
  Nature communications 2016 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
• Recovery of adult zebrafish hearts for high-throughput applications.
  Journal of visualized experiments : JoVE 2014 Arnaout R, Reischauer S, Stainier DY
• 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.
  Circulation research 2014 Reischauer S, Arnaout R, Ramadass R, Stainier DY
• Developmental biology: physics adds a twist to gut looping.
  Current biology : CB 2011 Arnaout R, Stainier DY
• Late Recognition of Malignant Vasovagal Syncope.
  Cardiac electrophysiology clinics 2010 Arnaout R, Thorson A
• Genetic and physiologic dissection of the vertebrate cardiac conduction system.
  PLoS biology 2008 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
• Zebrafish model for human long QT syndrome.
  Proceedings of the National Academy of Sciences of the United States of America 2007 Arnaout R, Ferrer T, Huisken J, Spitzer K, Stainier DY, Tristani-Firouzi M, Chi NC