Thoracic Imaging: Page 46

Consider COVID-19 chest imaging patterns to prep for next pandemic

By Kate Madden Yee

Understanding chest imaging patterns prompted by the COVID-19 pandemic -- specifically, what time of day most of these exams are ordered -- is useful for healthcare providers as they deal with similar crises going forward, according to a study published March 3 in PLOS One.

March 4, 2021

Lunit partners with Philips on chest AI software

By AuntMinnie.com staff writers

Artificial intelligence (AI) software developer Lunit is making its chest imaging software available on x-ray systems from Philips Healthcare through a new partnership announced at the virtual ECR 2021.

March 3, 2021

CT plus deep learning distinguishes COVID-19 from other pneumonia

By Kate Madden Yee

A deep-learning algorithm improves CT's capability for distinguishing between COVID-19 and other pneumonias, according to a study published February 27 in Interdisciplinary Sciences: Computational Life Sciences.

March 2, 2021

Agfa reaches milestone with Musica Chest+ software

By AuntMinnie.com staff writers

Agfa HealthCare said that its free Musica Chest+ digital radiography image processing software has now been used by more than 400 hospitals around the world.

March 1, 2021

Can AI predict COVID-19 hot spots from chest CT reports?

By Erik L. Ridley

Machine learning-based analysis of chest CT reports for respiratory illness findings could provide advance warning of new COVID-19 hot spots, according to a study published online February 25 in Radiology: Cardiothoracic Imaging.

March 1, 2021

AI can help radiologists find, classify rib fractures on CT

By Erik L. Ridley

An artificial intelligence (AI) algorithm can give radiologists a boost in performance for detecting and classifying rib fractures on CT exams, according to research published February 18 in Skeletal Radiology.

March 1, 2021

COVID-19 takes toll on well-being of radiology staff

By Will Morton

Radiographers and radiation therapists have experienced shortages of personal protective equipment and significant increases in stress and anxiety due to the COVID-19 pandemic, according to a new survey of Australian radiology staff.

February 25, 2021

AI can predict malignancy for multiple pulmonary nodules

By Erik L. Ridley

An artificial intelligence (AI) algorithm was able to predict the risk of cancer in patients found to have multiple pulmonary nodules during CT lung cancer screening, according to research published online February 24 in Clinical Cancer Research.

February 24, 2021

AI can predict need for steroid treatments in COVID-19 patients

By Erik L. Ridley

Deep learning-based analysis of chest CT exams can predict if COVID-19 patients will need to be treated with steroids, as well as monitor their progression, according to a recent webinar presentation.

February 10, 2021

Fujifilm Sonosite issues POCUS grants

By AuntMinnie.com staff writers

Ultrasound developer Fujifilm Sonosite and the Chest Foundation have announced the winners of research grants for the use of point-of-care ultrasound (POCUS) to diagnose COVID-19 in intensive care units.

February 7, 2021

New COVID-19 AI models offer promising results

By Erik L. Ridley

Deep-learning models that have been trained on datasets from multiple institutions around the world yield promising and generalizable results for identifying COVID-19 pneumonia on chest CT exams, as well as in predicting adverse patient outcomes.

February 7, 2021

Dynamic chest radiography spots lung tumor invasion

By Brian Casey

In a proof-of-concept study with phantoms, researchers were able to demonstrate that a dynamic chest radiography protocol was able to detect lung tumor invasion, according to findings published February 3 in Medical Physics.

February 4, 2021

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