Thoracic Imaging: Page 99

Deep-learning algorithm can stratify lung nodule risk
By Erik L. Ridley
CHICAGO - A deep-learning algorithm can automatically assess a lung nodule's risk of malignancy with a high level of accuracy, according to a presentation on Sunday at the RSNA 2017 meeting.
November 25, 2017
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Matrix Analytics debuts new LungDirect version
By AuntMinnie.com staff writers
Image analytics software developer Matrix Analytics has introduced version 3.0 of its LungDirect cloud-based software for managing pulmonary "incidentalomas" and lung screening programs.
November 21, 2017
Riverain partners with Nuance
By AuntMinnie.com staff writers
Advanced visualization firm Riverain Technologies has joined forces with Nuance Communications.
November 20, 2017
Can AI diagnose pneumonia better than radiologists?
By Erik L. Ridley
An artificial intelligence (AI) algorithm developed by Stanford University researchers can detect 14 types of medical conditions on chest x-ray images, and it's even able to diagnose pneumonia better than expert radiologists, according to a paper published November 14 on arXiv.org.
November 16, 2017
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Riverain adds to customer list
By AuntMinnie.com staff writers
Advanced visualization firm Riverain Technologies said it has signed three new clients for its ClearRead CT lung nodule detection software.
November 13, 2017
Nodule count on CT not linked to lung cancer risk
By Abraham Kim
Does a higher number of lung nodules detected on baseline CT screens indicate an increased risk of cancer? Researchers with the Dutch-Belgian Randomized Lung Cancer Screening trial refute this notion in a study published in the November issue of Lung Cancer.
November 13, 2017
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Is digital tomo an option for lung cancer screening?
By Brian Casey
Monday, November 27 | 12:45 p.m.-1:15 p.m. | CH238-SD-MOB2 | Lakeside, CH Community, Station 2With all the excitement over CT lung cancer screening, radiography has largely been forgotten as a lung screening tool. But could digital tomosynthesis make it relevant again? Researchers from Italy will address that question in this Monday afternoon presentation.
November 12, 2017
'Virtual dual energy' separates bone from soft tissue on chest x-rays
By Brian Casey
Monday, November 27 | 12:15 p.m.-12:45 p.m. | PH217-SD-MOA6 | Lakeside, PH Community, Station 6Illinois Institute of Technology researchers will present their work on a virtual dual-energy tool that enables studies to be produced from conventional digital x-ray exams without requiring double exposures.
November 12, 2017
Deep learning helps find lung nodules on chest x-ray
By Erik L. Ridley
Monday, November 27 | 11:00 a.m.-11:10 a.m. | SSC03-04 | Room S504CDA U.K. team has found that deep learning-powered computer-aided detection software could potentially act as a second reader for chest radiographs.
November 12, 2017
AI detects large pneumothoraces on chest x-ray
By Erik L. Ridley
Sunday, November 26 | 12:05 p.m.-12:15 p.m. | SSA12-09 | Room S403AArtificial intelligence (AI) algorithms can automatically detect large pneumothoraces on chest x-ray -- potentially speeding up detection and reporting of these critical findings, according to this presentation.
November 12, 2017
Deep learning can identify malpositioned feeding tubes
By Erik L. Ridley
Sunday, November 26 | 11:45 a.m.-11:55 a.m. | SSA12-07 | Room S403AIn this talk, researchers will highlight the potential of deep learning for speeding up the detection of malpositioned feeding tubes in critically ill patients.
November 12, 2017
Chest x-ray algorithm shows why it made its diagnosis
By Erik L. Ridley
Sunday, November 26 | 11:35 a.m.-11:45 a.m. | SSA12-06 | Room S403AA team from India will present a deep-learning algorithm that highlights the areas of the chest x-ray that led to the algorithm's diagnosis.
November 12, 2017
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