التفاصيل البيبلوغرافية
العنوان:
Artificial Intelligence–Enabled POCUS in the COVID-19 ICU
المؤلفون:
Akhil Narang , Baljash Cheema , James M. Walter , James D. Thomas
المصدر:
JACC: Case Reports
بيانات النشر:
Elsevier BV, 2021.
سنة النشر:
2021
مصطلحات موضوعية:
0301 basic medicine , 2019-20 coronavirus outbreak , medicine.medical_specialty , Coronavirus disease 2019 (COVID-19) , Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) , education , 030105 genetics & heredity , POCUS, point-of-care ultrasound , Cardiac Ultrasound , Hand movements , cardiac ultrasound , 03 medical and health sciences , 0302 clinical medicine , IVC, inferior vena cava , medicine , EF, ejection fraction , Diseases of the circulatory (Cardiovascular) system , Mini-Focus Issue: Imaging , Medical physics , Case Report: Technical Corner , COVID-19, coronavirus disease-2019 , business.industry , Point of care ultrasound , SARS-CoV-2, severe acute respiratory syndrome-coronavirus-2 , COVID-19 , deep learning , point of care ultrasound , artificial intelligence , ECMO - Extracorporeal membrane oxygenation , ICU, intensive care unit , RV, right ventricle , LV, left ventricle , RC666-701 , AI, artificial intelligence , Cardiology and Cardiovascular Medicine , business , ECMO, extracorporeal membrane oxygenation , 030217 neurology & neurosurgery
الوصف:
We present the novel use of a deep learning–derived technology trained on the skilled hand movements of cardiac sonographers that guides novice users to acquire high-quality bedside cardiac ultrasound images. We illustrate its use at the point of care through a series of patient encounters in the COVID-19 intensive care unit. (Level of Difficulty: Beginner.)
تدمد:
2666-0849
DOI:
10.1016/j.jaccas.2020.12.013
URL الوصول:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b243f4c60cd4ee9b472abe9b4bb428c8 https://doi.org/10.1016/j.jaccas.2020.12.013
Rights:
OPEN
رقم الانضمام:
edsair.doi.dedup.....b243f4c60cd4ee9b472abe9b4bb428c8
قاعدة البيانات:
OpenAIRE