Chest Radiology: Page 67

GE, Oxford to create COVID-19 pneumonia AI algorithms
By AuntMinnie.com staff writers
GE Healthcare and the University of Oxford-led U.K. National Consortium of Intelligent Medical Imaging announced on June 15 that they are collaborating to create artificial intelligence (AI) algorithms to help clinicians diagnose and manage patients with COVID-19 pneumonia.
June 17, 2020
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TEE is 'invaluable tool' for patients with COVID-19
By Theresa Pablos
Transesophageal echocardiography (TEE) is an "invaluable tool" for imaging critically ill patients with COVID-19, according to a May 23 Journal of the American Society of Echocardiography consensus statement written by more than a dozen cardiac imaging experts across the U.S. and Canada.
June 17, 2020
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EVALI complications persist after hospital discharge
By AuntMinnie.com staff writers
Complications from electronic cigarette or vaping product use-associated lung injury (EVALI) persist for months after patients treated in the hospital are discharged, according to a study published June 13 in the journal Chest.
June 16, 2020
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RSNA's COVID-19 chest CT classification system holds up
By Kate Madden Yee
A chest CT classification system developed by the RSNA for interpreting COVID-19 pneumonia cases shows substantial agreement among readers, according to a study published June 11 in Radiology: Cardiothoracic Imaging.
June 11, 2020
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Muscle metrics on chest CT can predict mortality risk
By Erik L. Ridley
Measurements of muscle mass and density automatically extracted from chest CT exams using an artificial intelligence (AI)-based model can predict all-cause mortality over a six-year period in older men, according to research published online June 6 in the Journals of Gerontology.
June 11, 2020
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Use D-dimer, CTPA to gauge PE risk in COVID-19 patients
By Kate Madden Yee
Patients with COVID-19 who have high D-dimer levels are good candidates for CT pulmonary angiography (CTPA) to rule out acute pulmonary embolism (PE), according to a study published June 9 in European Radiology.
June 11, 2020
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CT illuminates why nonsmokers get COPD
By Kate Madden Yee
A study using CT to image the lungs of patients has found that people with small airways relative to their lung size may be at increased risk of chronic obstructive pulmonary disease (COPD), even if they don't have other risk factors, such as smoking or asthma. The research was published June 9 in JAMA.
June 8, 2020
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Gender imbalance in AI training datasets lowers results
By Erik L. Ridley
Artificial intelligence (AI) algorithms trained with more cases from one gender can yield biased computer-aided diagnosis applications that perform worse on imaging exams involving the other gender, according to research published online May 26 in the Proceedings of the National Academy of Sciences.
June 8, 2020
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POCUS Academy partners with Gulfcoast Ultrasound
By AuntMinnie.com staff writers
The Point-of-Care Ultrasound (POCUS) Certification Academy has announced a partnership with Gulfcoast Ultrasound Institute to develop online training for healthcare providers on the front line of the COVID-19 pandemic, according to Inteleos, a medical certification organization.
June 7, 2020
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Global study shows ultrasound's strength for COVID-19
By Theresa Pablos
More than a dozen case reports and studies from around the world showed consistent lung ultrasound scan findings in patients with COVID-19, according to a review published on May 25 in Ultrasound in Medicine and Biology.
June 4, 2020
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Ultrasound autopsies help doctors understand COVID-19
By Theresa Pablos
A hospital in São Paulo used a portable ultrasound machine to perform autopsies on 10 patients with fatal cases of COVID-19. The authors described the modality's benefits for studying the effects of the disease caused by the novel coronavirus in a paper published on May 22 in Histopathology.
June 2, 2020
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What's the best way to image COVID-19?
By Kate Madden Yee
Researchers from Mount Sinai Hospital in New York City have released an overview of imaging modalities used to diagnose and manage COVID-19 pneumonia, trends to watch in artificial intelligence, and a description of nonchest complications from the disease. The review was published June 1 in Radiology: Cardiothoracic Imaging.
June 2, 2020
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