Artificial intelligence can improve how chest images are used in care of COVID-19 patients

Date:
June 3, 2020
Source:
Johns Hopkins Medicine
Summary:
Artificial intelligence (AI) should be used to expand the role
of chest X-ray imaging -- using computed tomography, or CT --
in diagnosing and assessing coronavirus infection so that it can
be more than just a means of screening for signs of COVID-19 in
a patient's lungs, say researchers in a new report.



FULL STORY ========================================================================== According to a recent report by Johns Hopkins Medicine researchers,
artificial intelligence (AI) should be used to expand the role of chest
X-ray imaging - - using computed tomography, or CT -- in diagnosing and assessing coronavirus infection so that it can be more than just a means
of screening for signs of COVID-19 in a patient's lungs.


========================================================================== Within the study, published in the May 6 issue of Radiology: Artificial Intelligence, the researchers say that "AI's power to generate models
from large volumes of information -- fusing molecular, clinical, epidemiological and imaging data -- may accelerate solutions to
detect, contain and treat COVID- 19." Although CT chest imaging is not currently a routine method for diagnosing COVID-19 in patients, it has
been helpful in excluding other possible causes for COVID-like symptoms, confirming a diagnosis made by another means or providing critical data
for monitoring a patient's progress in severe cases of the disease. The
Johns Hopkins Medicine researchers believe this isn't enough, making
the case that there is "an untapped potential" for AI-enhanced imaging
to improve. They suggest the technology can be used for:
* Risk stratification, the process of categorizing patients for the
type of
care they receive based on the predicted course of their COVID-19
infection.

* Treatment monitoring to define the effectiveness of agents used
to combat
the disease.

* Modeling how COVID-19 behaves, so that novel, customized therapies
can be
developed, tested and deployed.

For example, the researchers propose that "AI may help identify the immunological markers most associated with poor clinical course, which
may yield new targets" for drugs that will direct the immune system
against the SARS-CoV-2 virus that causes COVID-19.


========================================================================== Story Source: Materials provided by Johns_Hopkins_Medicine. Note:
Content may be edited for style and length.


========================================================================== Journal Reference:
1. Shinjini Kundu, Hesham Elhalawani, Judy W. Gichoya, Charles
E. Kahn. How
Might AI and Chest Imaging Help Unravel COVID-19's
Mysteries? Radiology: Artificial Intelligence, 2020; 2 (3):
e200053 DOI: 10.1148/ ryai.2020200053 ==========================================================================

Link to news story: https://www.sciencedaily.com/releases/2020/06/200603120547.htm https://www.sciencedaily.com/releases/2020/06/200603120547.htm

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