Sara Nikravan
University of Washington Medical Center
Deep learningInternal medicineArtificial intelligenceCardiologyIntensive care medicinePhysical therapyProspective cohort studyIntravascular volume statusSeptic shockResuscitationAnesthesiologyTargeted therapyShock (circulatory)Critically illPoint of careUltrasonographyMedicineEjection fraction
6Publications
2H-index
1Citations
Publications 4
Newest
#3David Rubenson (Cardiovascular Institute of the South)H-Index: 10
Background: We have recently tested an automated machine-learning algorithm that quantifies left ventricular (LV) ejection fraction (EF) from guidelines-recommended apical views. However, in the po...
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#2Pingping Song (University of Washington Medical Center)H-Index: 1
#3Nibras Bughrara (Albany Medical College)H-Index: 2
Last. Jose L. Diaz-Gomez (BCM: Baylor College of Medicine)H-Index: 3
view all 4 authors...
PURPOSE OF REVIEW: Severe sepsis with septic shock is the most common cause of death among critically ill patients. Mortality has decreased substantially over the last decade but recent data has shown that opportunities remain for the improvement of early and targeted therapy. This review discusses published data regarding the role of focused ultrasonography in septic shock resuscitation. RECENT FINDINGS: Early categorization of the cardiovascular phenotypes with echocardiography can be crucial ...
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#1Nibras BughraraH-Index: 2
#2Adnan KhanH-Index: 1
Last. Mark HamlinH-Index: 2
view all 8 authors...
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