Chest Radiology: Page 53

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

AI predicts cardiovascular risk on routine chest CT

By Erik L. Ridley

An artificial intelligence (AI) algorithm was able to predict patients' risk for future cardiovascular events by quantifying their coronary artery calcium on routine chest CT exams, according to research published online January 29 in Nature Communications.

February 2, 2021

Preclinical lung imaging offers effective evaluation of drug candidates

By Nicolau Beckmann, PhD, and Sarah-Rebecca Herrmann

Drug discovery and development are arduous and costly endeavors, with nine in 10 drug candidates failing to gain approval. Preclinical imaging can help pharmaceutical companies more effectively evaluate drug candidates, in particular for respiratory diseases.

January 31, 2021

IASLC: Screen nonsmokers for lung cancer, too

By Kate Madden Yee

Nonsmokers benefit from regular CT lung cancer screening as much as heavy smokers, especially if they have a family history of the disease, according to study findings presented January 30 by a team of Taiwanese researchers at the International Association for the Study of Lung Cancer's (IASLC) World Conference on Lung Cancer in Singapore.

January 29, 2021

Lunit, Infinitt partner on Indonesian distribution deal

By AuntMinnie.com staff writers

Artificial intelligence (AI) software developer Lunit and RIS/PACS vendor Infinitt Healthcare have launched a software distribution partnership to serve the Indonesian market.

January 27, 2021

CT shows lung damage 6 months after COVID-19 recovery

By Kate Madden Yee

One-third of patients who have recovered from acute COVID-19 show pulmonary fibrosis-like changes on six-month follow-up CT, according to a study by researchers from China published January 26 in Radiology.

January 27, 2021

Emergency visits present cancer screening opportunities

By Kate Madden Yee

Radiologists and their emergency department (ED) physician peers can leverage opportunities to boost cancer screening when patients present in the ED, according to a study published January 23 in the Journal of the American College of Radiology.

January 26, 2021

Imaging leads to removal of 3-cm toy from dementia patient

By Melissa Busch

Imaging helped physicians identify and remove a spinning top toy from an 83-year-old woman in Florida who had end-stage dementia and an oral fixation. Details of the case were published on January 20 in the Cureus Journal of Medical Science.

January 25, 2021

MIDRC releases first set of COVID-19 images

By AuntMinnie.com staff writers

The first set of images of patients with COVID-19 has gone live in the Medical Imaging and Data Resource Center (MIDRC), a collaboration of medical imaging organizations funded by the U.S. National Institute of Biomedical Imaging and Bioengineering.

January 21, 2021

AI enhances performance of CT lung cancer screening

By Erik L. Ridley

Combining artificial intelligence (AI) with Lung-RADS can sharply increase specificity in low-dose CT lung cancer screening programs without hurting sensitivity, according to a January 19 study in the Journal of the American College of Radiology.

January 21, 2021

UCSF deploys AI-powered portable x-ray system

By AuntMinnie.com staff writers

The University of California, San Francisco (USCF) said it has begun clinical use of GE Healthcare's Optima XR240amx mobile x-ray system, which features artificial intelligence (AI) algorithms developed in partnership with researchers from the university's Center for Intelligent Imaging.

January 18, 2021

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