 Rima Arnaout, MD
|
| Title(s) | Assistant Professor, Medicine |
|---|
| School | School of Medicine |
|---|
| Phone | 415-514-6411 |
|---|
| vCard | Download vCard |
|---|
|
|
 Biography | Massachusetts Institute of Technology, Cambridge, MA | SB | | Biology, Bioengineering | | Harvard Medical School, Boston, MA | MD | | Medicine | | Massachusetts General Hospital, Boston, MA | | | Internal Medicine Residency | | University of California, San Francisco, San Francisco, CA | | | Cardiology Fellowship |
| Sarnoff Cardiovascular Research Foundation | 2013
-
| 2015 | Sarnoff Scholar Award | | UCSF | 2012
-
| 2013 | Pierre and Christine Lamond Research Fellow in Cardiology | | NIH | 2011
-
| 2013 | National Institutes of Health Loan Repayment Program Award | | Sarnoff Cardiovascular Research Foundation | 2005
-
| 2006 | Sarnoff Fellow Award | | Voice of America | 2004
-
| 2005 | AAAS Mass Media Science and Engineering Fellowship Award |
Overview Dr. Rima Arnaout is an Assistant Professor in Medicine (Cardiology) and a member of the UCSF Institute for Computational Health Sciences (ICHS). 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. This can occur by drilling down—understanding the genetic and cellular mechanism of a particular disease—or going broad, using computational means to analyze precision phenotypes at scale. 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. She also uses the zebrafish animal model to study cardiovascular developmental gene function and to model human cardiovascular disease.
Data Science, Congenital Heart Disease, Echocardiography, Machine Learning, Cardiovascular Genetic and Genomics, Heart Development, Multi-modality Imaging, Zebrafish, General Cardiology, artificial intelligence, big data, biomedical ontologies, clinical decision support, clinical informatics, clinical laboratory information systems, consumer health informatics, data analysis, data anonymization, data display, data visualization, electronic health records (EHR), enterprise architecture, health information exchange, health information interoperability, imaging informatics, medical informatics, mobile health (mhealth), natural language processing, nursing informatics, patient generated health data, patient-reported outcome measures, pharmacy informatics, precision medicine, printing, three-dimensional, radiology information systems, software design, telemedicine, usability, user-centered design, virtual reality
Research Bibliographic
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.
-
Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist. Nat Med. 2020 Sep; 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.
View in: PubMed Mentions: Fields:
-
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.
View in: PubMed Mentions:
-
Toward a clearer picture of health. Nat Med. 2019 Jan; 25(1):12.
Arnaout R. PMID: 30613101.
View in: PubMed Mentions: Fields: Translation: Humans
-
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.
View in: PubMed Mentions: 3 Fields: Translation: Animals
-
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.
View in: PubMed Mentions:
-
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.
View in: PubMed Mentions: 1 Fields: Translation: AnimalsCells
-
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.
View in: PubMed Mentions: 30 Fields: Translation: HumansAnimals
-
Fast and accurate classification of echocardiograms using deep learning. ArXiv e-prints. 2017; (arXiv:1706).
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. 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.
View in: PubMed Mentions: 20 Fields: Translation: HumansAnimalsCells
-
Recovery of adult zebrafish hearts for high-throughput applications. J Vis Exp. 2014 Dec 12; (94).
Arnaout R, Reischauer S, Stainier DY. PMID: 25548868.
View in: PubMed Mentions: 6 Fields: Translation: Animals
-
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.
View in: PubMed Mentions: 23 Fields: Translation: AnimalsCells
-
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
-
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:
-
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.
View in: PubMed Mentions: 87 Fields: Translation: Animals
-
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.
View in: PubMed Mentions: 73 Fields: Translation: HumansAnimals
This graph shows the total number of publications by year. To see the data as text, click here.
This graph shows the total number of publications by year. To return to the graph, click here.
| Year | Publications |
|---|
| 2007 | 1 | | 2008 | 1 | | 2010 | 1 | | 2011 | 1 | | 2014 | 2 | | 2016 | 1 | | 2017 | 4 | | 2018 | 2 | | 2019 | 2 | | 2020 | 1 |
This graph shows the number and percent of publications by field.
Fields are based on how the National Library of Medicine (NLM) classifies the publications' journals and might not represent the specific topics of the publications.
Note that an individual publication can be assigned to more than one field. As a result, the publication counts in this graph might add up to more than the number of publications the person has written.
To see the data as text, click here.
This graph shows the number and percent of publications by field.
Fields are based on how the National Library of Medicine (NLM) classifies the publications' journals and might not represent the specific topics of the publications.
Note that an individual publication can be assigned to more than one field. As a result, the publication counts in this graph might add up to more than the number of publications the person has written.
To see the data as text, click here.
newest
oldest
line numbers
double spacing
all authors
publication IDs
|
Derived automatically from this person's publications.
_
People in Profiles who have published with this person.
_
People who share similar concepts with this person.
_
Search Department
_
|