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Thoracic Imaging: Page 33
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
Samsung NeuroLogica nets FDA clearance for AI tool
By
AuntMinnie.com staff writers
Samsung NeuroLogica has received U.S. Food and Drug Administration (FDA) 510(k) clearance for its Auto Lung Nodule Detection (ALND) tool, an artificial intelligence (AI)-assisted detection program for locating pulmonary nodules.
October 27, 2021
CT finds secondary lung disease in head and neck cancer survivors
By
Kate Madden Yee
Survivors of head and neck cancer have a 2.5 times higher risk of developing secondary cancer in the lungs compared to people who have not had the disease. But screening with low-dose CT is effective at catching these cancers early, according to a study published in
JAMA Otolaryngology-Head & Neck Surgery
.
October 27, 2021
Chest x-ray valuable in COVID-19 follow-up exams
By
Will Morton
Chest x-rays performed three months after patients with COVID-19 are discharged from hospital can identify those who might need additional follow-up treatment, according to a study published October 22 in
Radiography
.
October 26, 2021
Is the 2021 USPSTF lung cancer screening guidance cost-effective?
By
Kate Madden Yee
Is the 2021 guidance on CT lung cancer screening from the U.S. Preventive Care Services Task Force (USPSTF) cost-effective? Maybe, but other screening protocols might be more so, according to a study published October 21 in
JAMA Oncology
.
October 20, 2021
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