Resources: Page 230

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 5, 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 researchers from Philadelphia.
November 5, 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 5, 2017
Machine learning may enhance utility of FFR-CT
By Erik L. Ridley
Sunday, November 26 | 11:45 a.m.-11:55 a.m. | SSA04-07 | Room S504ABA machine-learning algorithm shows potential for facilitating the use of fractional flow reserve (FFR) calculations on coronary CT angiography studies, according to research being presented in this scientific session.
November 5, 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 5, 2017
2017 11 07 18 37 9362 Roadies Ribbon 400
Deep learning can assess malignancy risk of lung nodules
By Erik L. Ridley
Sunday, November 26 | 10:55 a.m.-11:05 a.m. | SSA12-02 | Room S403AIn this scientific session, researchers will describe how a deep-learning algorithm can provide an objective measure for assessing the malignancy risk of a lung nodule.
November 5, 2017
AI can predict invasiveness of lung adenocarcinoma
By Erik L. Ridley
Sunday, November 26 | 10:45 a.m.-10:55 a.m. | SSA05-01 | Room S404CDA Japanese group has found that an artificial intelligence (AI) algorithm can predict the level of pathological invasiveness of lung adenocarcinoma nearly as accurately as a highly experienced radiologist.
November 5, 2017
Carestream to launch workflow module at RSNA 2017
By AuntMinnie.com staff writers
Carestream Health plans to launch a new workflow software module at the upcoming RSNA 2017 meeting.
November 2, 2017
NZ Technologies Inc.
205-1110 Hamilton St. Vancouver, BC V6B 2S2 Canada
Mach7 to launch new data platform at RSNA 2017
By AuntMinnie.com staff writers
Data management firm Mach7 Technologies plans to launch a new data services platform at the upcoming RSNA 2017 meeting.
November 1, 2017
More lung cancer facilities may not mean more screening
By Abraham Kim
Thursday, November 30 | 11:50 a.m.-12:00 p.m. | SSQ05-09 | Room S402ABThe availability of screening facilities does not necessarily affect lung cancer outcomes, according to this preliminary analysis of the American College of Radiology Lung Cancer Screening Registry.
November 1, 2017
Who uses CCTA more: radiologists or cardiologists?
By Abraham Kim
Thursday, November 30 | 11:40 a.m.-11:50 a.m. | SSQ02-08 | Room S502ABThe ongoing tug-of-war between radiologists and cardiologists may be starting to favor one end: Radiologists now utilize coronary CT angiography (CCTA) at a higher rate than cardiologists do, according to this presentation.
November 1, 2017
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