Chest Radiology: Page 40

FDA clears Lunit's AI-based chest x-ray triage software

By AuntMinnie.com staff writers

Artificial intelligence (AI) software developer Lunit has received clearance from the U.S. Food and Drug Administration (FDA) for its software to triage chest x-ray emergency cases.

November 14, 2021

Radiologists boost AI severity quantification of COVID-19

By Erik L. Ridley

Involving radiologists in fine-tuning an artificial intelligence (AI) algorithm yielded better performance for detecting and quantifying COVID-19 pneumonia on x-rays, according to research published October 28 in the Journal of Thoracic Imaging.

November 14, 2021

Stricter Lung-RADS protocol helps reclassify nodules on follow-up CT

By Kate Madden Yee

Stricter Lung-RADS categories in terms of nodule size help clinicians to categorize those found on follow-up lung cancer screening CT exams, according to a study by researchers from Harvard University. Their results were published November 10 in the American Journal of Roentgenology.

November 14, 2021

AI illuminates health disparities in COVID-19 patients

By Erik L. Ridley

Wednesday, December 1 | 9:30 a.m.-10:30 a.m. | SSIN06-1 | Room TBAIn this talk, researchers will describe how an artificial intelligence (AI) algorithm can reveal racial or ethnic disparities in COVID-19 patients based on their chest x-rays.

November 14, 2021

AI finds there's more on chest x-rays than meets the eye

By Erik L. Ridley

Tuesday, November 30 | 3:00 p.m.-4:00 p.m. | SSIN05-6 | Room TBAA patient's biological age, sex, ethnicity, and insurance status can be predicted by an artificial intelligence (AI) model's analysis of his or her chest radiograph, according to this presentation.

November 14, 2021

Deep-learning algorithm predicts survival for COPD

By Erik L. Ridley

Tuesday, November 30 | 9:30 a.m.-10:30 a.m. | SSCH04-2 | Room TBAA deep-learning algorithm can enable significantly more accurate survival predictions in patients with chronic obstructive pulmonary disease (COPD), according to this study.

November 14, 2021

Algorithm enhances survival predictions in lung cancer

By Erik L. Ridley

Monday, November 29 | 9:30 a.m.-10:00 a.m. | SSCH03-2 | Room TBAArtificial intelligence-based assessment of biological chest age on chest radiographs can help to predict survival in lung cancer patients, according to this presentation.

November 14, 2021

Patients less likely to get lung screening after diagnostic CT

By Kate Madden Yee

Patients who are referred for a diagnostic chest CT scan to follow up suspicious lesions found on CT lung cancer screening appear to be less likely to report for regular screening going forward, according to a November 6 study in the Journal of the American College of Radiology.

November 7, 2021

PET tracer proves effective for assessing immunotherapy

By Will Morton

PET imaging can show whether patients with melanoma or non-small cell lung cancer (NSCLC) will respond to immunotherapy treatment, according to a study published November 1 in Annals of Oncology.

November 3, 2021

When it comes to imaging, racial disparities persist

By Kate Madden Yee

Research has shown that healthcare disparities exist between white and minority patients when it comes to imaging use -- particularly CT and chest x-ray, according to a letter published November 2 in Radiology.

November 2, 2021

CCTA plaque data improve heart disease risk assessment in diabetics

By Kate Madden Yee

Heart plaque data from coronary CT angiography (CCTA) exams boost heart disease risk assessment in diabetic patients compared with assessing obstructive stenosis alone, according to research published October 28 in the Journal of Thoracic Imaging.

October 31, 2021

Can AI help detect cancer on CT lung cancer screening exams?

By Erik L. Ridley

Artificial intelligence (AI) algorithms can perform comparably to radiologists in detecting lung cancer on low-dose CT lung cancer screening exams, according to research published online October 27 in Radiology: Artificial Intelligence.

October 28, 2021

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