Search Results - "Arnaout, Rima"

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  1. 1

    Fast and accurate view classification of echocardiograms using deep learning by Madani, Ali, Arnaout, Ramy, Mofrad, Mohammad, Arnaout, Rima

    Published in NPJ digital medicine (21-03-2018)
    “…Echocardiography is essential to cardiology. However, the need for human interpretation has limited echocardiography’s full potential for precision medicine…”
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    Journal Article
  2. 2

    An ensemble of neural networks provides expert-level prenatal detection of complex congenital heart disease by Arnaout, Rima, Curran, Lara, Zhao, Yili, Levine, Jami C., Chinn, Erin, Moon-Grady, Anita J.

    Published in Nature medicine (01-05-2021)
    “…Congenital heart disease (CHD) is the most common birth defect. Fetal screening ultrasound provides five views of the heart that together can detect 90% of…”
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  3. 3

    Visualizing omicron: COVID-19 deaths vs. cases over time by Arnaout, Ramy, Arnaout, Rima

    Published in PloS one (19-04-2022)
    “…For most of the COVID-19 pandemic, the daily focus has been on the number of cases, and secondarily, deaths. The most recent wave was caused by the omicron…”
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  4. 4

    Domain-guided data augmentation for deep learning on medical imaging by Athalye, Chinmayee, Arnaout, Rima

    Published in PloS one (23-03-2023)
    “…While domain-specific data augmentation can be useful in training neural networks for medical imaging tasks, such techniques have not been widely used to date…”
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  6. 6

    LITTLE FISH, BIG DATA: ZEBRAFISH AS A MODEL FOR CARDIOVASCULAR AND METABOLIC DISEASE by Gut, Philipp, Reischauer, Sven, Stainier, Didier Y R, Arnaout, Rima

    Published in Physiological reviews (01-07-2017)
    “…The burden of cardiovascular and metabolic diseases worldwide is staggering. The emergence of systems approaches in biology promises new therapies, faster and…”
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  7. 7

    Domain-guided data augmentation for deep learning on medical imaging by Chinmayee Athalye, Rima Arnaout

    Published in PloS one (23-03-2023)
    “…While domain-specific data augmentation can be useful in training neural networks for medical imaging tasks, such techniques have not been widely used to date…”
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    Journal Article
  8. 8

    Machine Learning and the Future of Cardiovascular Care by Quer, Giorgio, Arnaout, Ramy, Henne, Michael, Arnaout, Rima

    “…The role of physicians has always been to synthesize the data available to them to identify diagnostic patterns that guide treatment and follow response…”
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  9. 9

    Learning epistatic polygenic phenotypes with Boolean interactions by Behr, Merle, Kumbier, Karl, Cordova-Palomera, Aldo, Aguirre, Matthew, Ronen, Omer, Ye, Chengzhong, Ashley, Euan, Butte, Atul J, Arnaout, Rima, Brown, Ben, Priest, James, Yu, Bin

    Published in PloS one (16-04-2024)
    “…Detecting epistatic drivers of human phenotypes is a considerable challenge. Traditional approaches use regression to sequentially test multiplicative…”
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  10. 10

    A mutation in the atrial-specific myosin light chain gene (MYL4) causes familial atrial fibrillation by Orr, Nathan, Arnaout, Rima, Gula, Lorne J., Spears, Danna A., Leong-Sit, Peter, Li, Qiuju, Tarhuni, Wadea, Reischauer, Sven, Chauhan, Vijay S., Borkovich, Matthew, Uppal, Shaheen, Adler, Arnon, Coughlin, Shaun R., Stainier, Didier Y. R., Gollob, Michael H.

    Published in Nature communications (12-04-2016)
    “…Atrial fibrillation (AF), the most common arrhythmia, is a growing epidemic with substantial morbidity and economic burden. Mechanisms underlying vulnerability…”
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  11. 11

    Best practices for authors of healthcare-related artificial intelligence manuscripts by Kakarmath, Sujay, Esteva, Andre, Arnaout, Rima, Harvey, Hugh, Kumar, Santosh, Muse, Evan, Dong, Feng, Wedlund, Leia, Kvedar, Joseph

    Published in NPJ digital medicine (16-10-2020)
    “…Since its inception in 2017, npj Digital Medicine has attracted a disproportionate number of manuscripts reporting on uses of artificial intelligence. This…”
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  12. 12

    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 by Reischauer, Sven, Arnaout, Rima, Ramadass, Radhan, Stainier, Didier Y.R

    Published in Circulation research (24-10-2014)
    “…RATIONALE:Dilated cardiomyopathy is a leading cause of congestive heart failure and a debilitating complication of antineoplastic therapies. Despite disparate…”
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  13. 13

    Distinct myocardial lineages break atrial symmetry during cardiogenesis in zebrafish by Guerra, Almary, Germano, Raoul Fv, Stone, Oliver, Arnaout, Rima, Guenther, Stefan, Ahuja, Suchit, Uribe, Verónica, Vanhollebeke, Benoit, Stainier, Didier Yr, Reischauer, Sven

    Published in eLife (15-05-2018)
    “…The ultimate formation of a four-chambered heart allowing the separation of the pulmonary and systemic circuits was key for the evolutionary success of…”
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  14. 14

    Zebrafish model for human long QT syndrome by Arnaout, Rima, Ferrer, Tania, Huisken, Jan, Spitzer, Kenneth, Stainier, Didier Y.R, Tristani-Firouzi, Martin, Chi, Neil C

    “…Long QT syndrome (LQTS) is a disorder of ventricular repolarization that predisposes affected individuals to lethal cardiac arrhythmias. To date, an…”
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  15. 15

    Genetic and physiologic dissection of the vertebrate cardiac conduction system by Chi, Neil C, Shaw, Robin M, Jungblut, Benno, Huisken, Jan, Ferrer, Tania, Arnaout, Rima, Scott, Ian, Beis, Dimitris, Xiao, Tong, Baier, Herwig, Jan, Lily Y, Tristani-Firouzi, Martin, Stainier, Didier Y R

    Published in PLoS biology (01-05-2008)
    “…Vertebrate hearts depend on highly specialized cardiomyocytes that form the cardiac conduction system (CCS) to coordinate chamber contraction and drive blood…”
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  16. 16

    Adapting vision–language AI models to cardiology tasks by Arnaout, Rima

    Published in Nature medicine (01-05-2024)
    “…Vision–language models can be trained to read cardiac ultrasound images with implications for improving clinical workflows, but additional development and…”
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  17. 17

    Gender-based time discrepancy in diagnosis of coronary artery disease based on data analytics of electronic medical records by Panahiazar, Maryam, Bishara, Andrew M, Chern, Yorick, Alizadehsani, Roohallah, Islam, Sheikh M Shariful, Hadley, Dexter, Arnaout, Rima, Beygui, Ramin E

    Published in Frontiers in cardiovascular medicine (24-11-2022)
    “…Women continue to have worse Coronary Artery Disease (CAD) outcomes than men. The causes of this discrepancy have yet to be fully elucidated. The main…”
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  18. 18

    Mitral Valve Atlas for Artificial Intelligence Predictions of MitraClip Intervention Outcomes by Dabiri, Yaghoub, Yao, Jiang, Mahadevan, Vaikom S, Gruber, Daniel, Arnaout, Rima, Gentzsch, Wolfgang, Guccione, Julius M, Kassab, Ghassan S

    Published in Frontiers in cardiovascular medicine (10-12-2021)
    “…Severe mitral regurgitation (MR) is a cardiac disease that can lead to fatal consequences. MitraClip (MC) intervention is a percutaneous procedure whereby the…”
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  19. 19

    Pregnancy complications and premature cardiovascular events among 1.6 million California pregnancies by Arnaout, Rima, Nah, Gregory, Marcus, Greg, Tseng, Zian, Foster, Elyse, Harris, Ian S, Divanji, Punag, Klein, Liviu, Gonzalez, Juan, Parikh, Nisha

    Published in Open heart (01-01-2019)
    “…BackgroundCardiovascular complications of pregnancy present an opportunity to assess risk for subsequent cardiovascular disease. We sought to determine whether…”
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  20. 20

    ChatGPT Helped Me Write This Talk Title, but Can It Read an Echocardiogram? by Arnaout, Rima

    “…While multidisciplinary collaboration in echocardiography is not new, machine learning has the potential to further improve it. In this transcript of the ASE…”
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