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Chest Radiology: Page 70
FDA OKs use of Aidoc AI software for COVID-19
By
AuntMinnie.com staff writers
Artificial intelligence (AI) software developer Aidoc said that the U.S. Food and Drug Administration (FDA) has permitted its algorithms to be used as an adjunctive tool for incidental detection of COVID-19 on CT exams and triaging of these cases for priority review by radiologists.
May 7, 2020
Test COVID-19 respirators before MRI
By
Kate Madden Yee
The respirators MRI technologists use to protect themselves from SARS-CoV-2 infection aren't necessarily safe for the MRI suite, since they may contain magnetic components, according to a study published in the June issue of
Clinical Radiology
.
May 7, 2020
TeraRecon unveils lung density analysis for COVID-19
By
AuntMinnie.com staff writers
Advanced visualization and artificial intelligence (AI) software developer TeraRecon has introduced two new lung density analysis software applications to aid in the assessment and follow-up care of patients with COVID-19.
May 6, 2020
Italian researchers develop x-ray scoring for COVID-19
By
Kate Madden Yee
Italian researchers have developed a chest x-ray scoring system for quantifying and monitoring COVID-19 findings, according to a study published May 1 in
La Radiologia Medica
.
May 6, 2020
CT helps diagnose pediatric handlebar injury
By
Kate Madden Yee
CT can effectively define the scope of trauma in pediatric bicycle handlebar injuries and help clinicians decide on the best treatment, according to a study published May 4 in
Radiographics
.
May 6, 2020
Radiology must regain public's trust in wake of COVID-19
By
Louise Gagnon
As radiology braces for a surge in imaging procedures in the aftermath of the COVID-19 pandemic, facilities must take steps to regain the public's trust that they can undergo imaging exams safely, according to Dr. Mahmud Mossa-Basha, chief of radiology at the University of Washington.
May 5, 2020
Can AI provide 'nowcasts' for COVID-19 on chest x-rays?
By
Erik L. Ridley
An artificial intelligence (AI) algorithm developed based on concepts commonly employed in economics and meteorology can yield a high level of accuracy for identifying COVID-19 on patients' chest radiographs, according to research from the University of Hong Kong. It also significantly outperformed radiologists.
May 4, 2020
Aidoc secures CE Mark for pulmonary AI
By
AuntMinnie.com staff writers
Israeli artificial intelligence software developer Aidoc has secured the CE Mark in the European Union for artificial intelligence (AI) software that marks incidental pulmonary embolism on contrast-enhanced chest CT.
May 3, 2020
CT helps predict TAVR outcomes
By
Kate Madden Yee
Identifying fibrotic lung disease on CT before transcathetor aortic valve replacement (TAVR) in elderly patients can help predict the procedure's outcome, according to a study published online April 30 in
Radiology: Cardiothoracic Imaging
.
May 3, 2020
High-resolution CT improves pulmonary nodule evaluation
By
Kate Madden Yee
Japanese researchers have found that boosting the matrix size for high-resolution chest CT improves image quality for the evaluation of pulmonary nodules -- without unduly increasing the number of images to be interpreted, according to a study published April 29 in the
European Journal of Radiology
.
May 3, 2020
Characteristic pediatric lung findings are emerging
By
AuntMinnie.com staff writers
Although the clinical presentation of various lung diseases in children can show significant overlap, there are emerging characteristic imaging findings -- such as the halo sign for COVID-19 on chest CT -- that can help radiologists make more accurate diagnoses, according to a study published April 29 in the
American Journal of Roentgenology
.
April 30, 2020
Pay attention to patient portals
By
AuntMinnie.com staff writers
Patients appreciate getting imaging results both via direct provider contact and via electronic patient portals – but they may have less understanding of advanced imaging results when they receive them online, according to a study published April 29 in the
Journal of the American College of Radiology
.
April 29, 2020
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