Thoracic Imaging: Page 67

Imaging doesn't help AI predict severity of COVID-19

By Erik L. Ridley

An artificial intelligence (AI) algorithm can achieve a promising level of accuracy for predicting the severity of COVID-19 based on several clinical features at presentation, according to research published on March 30 in Computers, Materials, & Continua. But adding CT findings to the analysis didn't help.

April 5, 2020

How good is radiography for COVID-19 detection?

By Brian Casey

Just how well does radiography perform in detecting signs of COVID‑19? A range of recent studies indicates that while x-ray may not have the diagnostic power of CT, it still has a role to play in managing the pandemic.

April 5, 2020

CDC updates PPE guidance for healthcare workers

By AuntMinnie.com staff writers

The U.S. Centers for Disease Control and Prevention (CDC) has updated its guidance on what personal protective equipment (PPE) healthcare workers, including radiologists, should wear when caring for patients who have or are suspected of having COVID-19.

April 2, 2020

Sydney startup launches COVID-19 training tool

By AuntMinnie.com staff writers

An Australian startup has launched a free online, CT image-based tool to help clinicians better detect COVID-19.

April 2, 2020

UCLA publishes chest x-ray COVID-19 guideline

By AuntMinnie.com staff writers

A guideline detailing the use of chest x-ray for patients suspected of having the COVID-19 respiratory disease has been published by a group from the University of California, Los Angeles.

April 2, 2020

Incidental COVID-19 findings seen on routine FDG-PET/CT

By Wayne Forrest

Nuclear medicine practitioners should be prepared for incidental findings of COVID-19 when patients undergo FDG-PET/CT scans for routine oncologic indications, according to a study published online April 1 in the Journal of Nuclear Medicine.

April 2, 2020

CT severity scores reveal extent of COVID-19

By Kate Madden Yee

Chest CT severity scores can help radiologists evaluate the extent of COVID-19 and better triage patients, according to a study published March 30 in Radiology: Cardiothoracic Imaging by a group of researchers from China.

April 1, 2020

Deep learning helps CT better quantify COVID-19

By Kate Madden Yee

A deep-learning algorithm can help chest CT better quantify lung opacification caused by COVID-19, according to a study by researchers from Wuhan, China, published March 30 in Radiology: Cardiothoracic Imaging.

April 1, 2020

Open-source AI COVID-Net targets COVID-19 on chest x-rays

By Erik L. Ridley

Canadian researchers are developing an open-source artificial intelligence (AI) algorithm called COVID-Net for detecting COVID-19 on chest x-rays. They've also made the training dataset available for other researchers.

March 30, 2020

RSNA to build a COVID-19 image repository

By AuntMinnie.com staff writers

The RSNA plans to build a COVID-19 imaging data repository, adding to its body of research and education resources for the disease.

March 30, 2020

AI-based CAD accurately detects tuberculosis on chest x-rays

By Erik L. Ridley

A computer-aided detection (CAD) software application developed with deep-learning technology can detect tuberculosis on chest radiographs at a comparable level to human experts, according to research published online March 26 in Scientific Reports.

March 30, 2020

CT confirms bathhouse transmission of SARS-CoV-2

By Kate Madden Yee

CT exams have confirmed the transmission of the SARS-CoV-2 virus among nine patients who used a bathhouse more than 400 miles north of Wuhan, China, according to a research letter published March 30 in JAMA Network Open.

March 29, 2020

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