Thoracic Imaging: Page 48

AI improves lung cancer detection on x-rays
By Erik L. Ridley
An artificial intelligence (AI) algorithm can catch lung cancers that were initially missed by radiologists on chest radiographs and improve radiologist performance when used as a second reader, according to research published online December 10 in Radiology: Cardiothoracic Imaging.
December 10, 2020
2020 12 11 17 56 0055 2020 12 11 Ai Lung Cancer A C 20201211175644
Pandemic makes ultrasound a practice staple in Italy
By Theresa Pablos
The COVID-19 pandemic has driven internal medicine physicians in Italy to increasingly rely on ultrasound as part of their daily physical examinations, according to a webinar corresponding with the Acoustical Society of America virtual meeting this week.
December 10, 2020
2020 12 11 01 09 7440 2020 12 11 Lung Ultrasound Scan 20201211012429
Gaps in lung nodule follow-up linked to racial disparities
By Kate Madden Yee
Racial disparities affect follow-up of incidental pulmonary nodules detected on CT scans, according to a presentation delivered at the recent virtual RSNA 2020 meeting. Researchers found race to be one of several factors that can affect appropriate follow-up.
December 9, 2020
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Aidoc and Imbio team up on AI for pulmonary embolism
By AuntMinnie.com staff writers
Artificial intelligence (AI) software developers Aidoc and Imbio have formed a partnership to develop an AI package for the detection and quantification of pulmonary embolism.
December 7, 2020
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AstraZeneca, Qure.ai partner for lung cancer diagnosis
By AuntMinnie.com staff writers
AstraZeneca has partnered with deep-learning algorithm developer Qure.ai to integrate artificial intelligence solutions for the early detection of lung cancer.
December 6, 2020
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Social factors affect CT lung screening compliance
By Kate Madden Yee
Whether individuals undergo CT lung cancer screening can depend not only on social factors such as unreliable transportation and type of insurance but also on a lack of awareness of screening recommendations, according to research presented Thursday at the virtual RSNA 2020 meeting.
December 3, 2020
2020 12 03 23 01 2984 Cigarette Smoker Closeup 400
Handheld ultrasound is invaluable for COVID-19 imaging
By Theresa Pablos
Handheld ultrasound scanners are invaluable tools for performing imaging in patients with COVID-19, according to a Wednesday presentation at the RSNA 2020 virtual meeting. While CT is the optimal imaging modality for COVID-19, radiologists should consider adding ultrasound to their pandemic imaging arsenal, according to a Chinese researcher.
December 2, 2020
2018 07 27 21 57 8076 Ultrasound Transducer 400
Deep-learning algorithm detects free air on CT images
By Erik L. Ridley
A deep-learning algorithm was able to detect and quantify regions of free air on CT images, enabling patients with these critical pathologies to be prioritized on the radiology worklist, according to a presentation on Wednesday morning at the virtual RSNA 2020 meeting.
December 2, 2020
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From alligators to COVID-19, 3D images show lung pathology
What do 3D reconstructed images of alligators have to do with COVID-19? Researchers from Louisiana who began working together to image reptiles have leveraged their collaboration into a 3D method for visualizing lung pathology in cases of COVID-19.
December 1, 2020
2020 12 02 00 45 2028 2020 12 01 Minnies Best Radiology Image 400
Ziosoft software peers into COVID-19 organ damage
By AuntMinnie.com staff writers
Ziosoft is taking the opportunity at RSNA 2020 to show how its vendor-neutral 3D/4D visualization software is helpful for visualizing damage to the heart and other organs from COVID-19.
November 30, 2020
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EVALI shows particular imaging findings on CT
By Kate Madden Yee
Particular CT imaging findings such as a diffuse alveolar damage pattern can help radiologists diagnose electronic cigarette or vaping product use-associated lung injury (EVALI), according to a presentation delivered on Monday at the virtual RSNA 2020 meeting.
November 30, 2020
2020 12 01 18 04 4795 Vaping Teenager 400
Can AI software drive CT lung screening rates higher?
Can software based on artificial intelligence improve the anemic rates of CT lung cancer screening in the U.S.? That's the hope of Infervision, whose InferRead Lung CT.AI software won the Minnies award for Best New Radiology Software. The application is designed to automatically detect lung nodules on chest CT exams.
November 30, 2020
2020 11 24 00 02 0504 2020 12 01 Minnies Awards Infervision
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