CC BY-NC-ND 4.0 · Journal of Cardiac Critical Care TSS 2020; 4(02): 116-120
DOI: 10.1055/s-0040-1718983
Review Article

Artificial Intelligence in POCUS: The Vanguard of Technology in COVID-19 Pandemic

Srinath Damodaran
1  Department of Anaesthesia and Intensive Care, Narayana Institute of Cardiac Sciences, Narayana Health City, Bangalore, Karnataka, India.
,
Arjun Alva
2  Department of Critical Care, Narayana Institute of Cardiac Sciences, Narayana Health City, Bangalore, Karnataka, India
,
Srinath Kumar
3  Department of Emergency Medicine, Narayana Institute of Cardiac Sciences, Narayana Health City, Bangalore, Karnataka, India.
,
Muralidhar Kanchi
4  Department of Anaesthesia and Intensive Care, Narayana Institute of Cardiac Sciences, Narayana Health City, Bangalore, Karnataka, India.
› Author Affiliations

Abstract

The creation of intelligent software or system, machine learning, and deep learning technologies are the integral components of artificial intelligence. Point-of-care ultrasound involves the bedside use of ultrasound to answer specific diagnostic questions and to assess real-time physiologic responses to treatment. This article provides insight into the pearls and pitfalls of artificial intelligence in point-of-care ultrasound for the coronavirus disease 2019 pandemic.



Publication History

Publication Date:
06 November 2020 (online)

© 2020. Official Publication of The Simulation Society (TSS), accredited by International Society of Cardiovascular Ultrasound ISCU. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/.)

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