Year: 2023
Type: article
Abstract: The use of artificial intelligence is increasing and permeates many aspects of our daily lives. Its application in medicine is also increasing, supported by the increased digitalisation of clinical data. The COVID-19 pandemic accelerated innovation in artificial-intelligence-assisted medical care, particularly around lung imaging and respiratory sounds, which have applications for pneumonia.1 Machine-leaning technologies and algorithms that enable the identification of patterns have been used with chest radiography, CT, ultrasound, and MRI as well as with cough and lung sounds to aid in the diagnosis of pneumonia and other respiratory diseases and in clinical decision-making.
Source: The Lancet Global Health
Authors: Amy Sarah Ginsburg, Eric D McCollum
Institutions: University of Washington, Johns Hopkins University
Language: English
Topic: COVID-19 diagnosis using AI
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $5,780
OpenAlex ID: W4388563410