Artificial Intelligence-Based Left Ventricular Ejection Fraction by Medical Students for Mortality and Readmission Prediction

Artificial Intelligence-Based Left Ventricular Ejection Fraction by Medical Students for Mortality and Readmission Prediction

Introduction: Point-of-care ultrasound has become a universal practice, employed by physicians across various disciplines, contributing to diagnostic processes and decision-making. Aim: To assess the association of reduced (<50%) left-ventricular ejection fraction (LVEF) based on prospective poin...

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Bibliographic Details
Main Authors: Ziv Dadon, Moshe Rav Acha, Amir Orlev, Shemy Carasso, Michael Glikson, Shmuel Gottlieb, Evan Avraham Alpert
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Diagnostics
Subjects:
AI (Artificial Intelligence)
echocardiography
point-of-care testing
students
medical
ventricular function
Online Access:https://www.mdpi.com/2075-4418/14/7/767

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https://www.mdpi.com/2075-4418/14/7/767

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