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Thoracic Imaging: Page 78
GAN model predicts interstitial lung disease survival
By
Erik L. Ridley
Wednesday, December 4 | 3:40 p.m.-3:50 p.m. | SSM14-05 | Room E353CIn this scientific session, researchers from Massachusetts will describe how generative adversarial networks (GANs) can be utilized to predict survival in patients with idiopathic pulmonary fibrosis.
November 3, 2019
1st-year radiology residents beat AI for detecting pneumothorax
By
Erik L. Ridley
Wednesday, December 4 | 3:00 p.m.-3:10 p.m. | SSM07-01 | Room N228Although it was much faster, an artificial intelligence (AI) algorithm couldn't beat the performance of first-year radiology residents for detecting pneumothorax in a study by researchers from Johns Hopkins University.
November 3, 2019
AI doesn't hedge when reporting on chest x-rays
By
Erik L. Ridley
Tuesday, December 3 | 11:40 a.m.-11:50 a.m. | SSG06-08 | Room S406AIn this presentation, researchers from India will describe how a deep-learning algorithm shows potential for producing accurate reports of chest radiographs.
November 3, 2019
AI finds missed lung nodules on whole-body CT
By
Erik L. Ridley
Monday, December 2 | 3:40 p.m.-3:50 p.m. | SSE14-05 | Room S406BIn this scientific presentation, a team of researchers from Taiwan will report on how an artificial intelligence (AI) algorithm served as a helpful second reader for whole-body CT exams.
November 3, 2019
Deep learning can find osteoporosis on chest x-rays
By
Erik L. Ridley
Monday, December 2 | 11:50 a.m.-12:00 p.m. | SSC09-09 | Room E450BA deep-learning algorithm can predict osteopenia and osteoporosis on chest radiographs, according to a team of researchers from Maryland.
November 3, 2019
AI predicts future healthcare costs from chest x-rays
By
Erik L. Ridley
Monday, December 2 | 11:50 a.m.-12:00 p.m. | SSC08-09 | Room E450AIn this talk, a group from California will reveal how an artificial intelligence (AI) algorithm can predict future healthcare expenses for patients just by analyzing their chest radiograph.
November 3, 2019
Vaping case study offers guidance for radiologists
By
Brian Casey
The case study of a 24-year-old man with lung damage from vaping provides hints to radiologists on what to look for in patients who present with characteristic symptoms and a history of electronic cigarette use, according to a special report published October 31 in
Radiology: Cardiothoracic Imaging
.
October 30, 2019
Smokers less likely to undergo medical, screening exams
By
Abraham Kim
Current smokers who met the National Lung Screening Trial criteria for CT lung cancer screening were less likely to participate in general medical checkups and colon cancer screening exams than those who did not in a new study, published online October 22 in
PLOS One
.
October 23, 2019
Life expectancy model refines CT lung screening criteria
By
Abraham Kim
Researchers from the U.S. National Institutes of Health have developed a prediction model that determines an individual's eligibility for CT lung cancer screening based on life years gained. The model may be a more effective alternative to traditional screening criteria, according to an October 22 article in the
Annals of Internal Medicine
.
October 22, 2019
Be mindful of respiratory, motion issues with GBCAs
By
Wayne Forrest
A comparison of two gadolinium-based contrast agents (GBCAs) for hepatobiliary MRI shows that both agents can cause respiratory and motion issues for patients, but the issues were more pronounced with one of the agents, according to a study to be published in the November issue of
Radiology
.
October 21, 2019
'Light' cigarettes don't reduce lung cancer mortality
By
Brian Casey
If you're a smoker and want to cut your chances of dying from cancer by smoking a "light" brand of cigarette, think again. Researchers found no difference in lung cancer mortality between those who smoked light cigarettes and those who puffed regular smokes, according to a study published on October 21 in
JAMA Internal Medicine
.
October 21, 2019
AI algorithm identifies pneumothorax on chest x-rays
By
AuntMinnie.com staff writers
An artificial intelligence (AI) algorithm can accurately identify pneumothorax on chest x-rays by comparing new cases with a database of patients who have similar images and known findings, according to research being presented this week at the Vector Institute's Evolution of Deep Learning Symposium in Toronto.
October 17, 2019
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