Chest Radiology: Page 108

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
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
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
What factors delay lung cancer diagnosis on CT CAC?
By Abraham Kim
Wednesday, November 29 | 3:50 p.m.-4:00 p.m. | SSM04-06 | Room S504ABCT for coronary artery calcium (CAC) scoring is susceptible to detection and interpretation errors that may delay the diagnosis of lung cancer, according to researchers from South Korea.
November 1, 2017
Study refines lung hamartoma diagnosis on CT
By Abraham Kim
Monday, November 27 | 11:20 a.m.-11:30 a.m. | SSC03-06 | Room S504CDA team of researchers from Israel is proposing an increase in the current threshold for identifying fat in suspected cases of lung hamartoma to improve accuracy.
November 1, 2017
Canadian risk model boosts CT lung screening efficiency
By Abraham Kim
Is the risk model used in the National Lung Screening Trial really the best one for determining which individuals should get CT screening for lung cancer? Maybe not, according to Canadian researchers who published what they think might be a more effective model in an October 17 paper in Lancet Oncology.
October 23, 2017
2017 02 01 16 41 06 305 Lungs Smoke 400
CT screening plus smoking cessation cuts deaths, costs
By AuntMinnie.com staff writers
Incorporating smoking cessation programs into low-dose CT lung cancer screening is a cost-effective way to decrease mortality rates, according to a study presented at the World Conference on Lung Cancer in Yokohama, Japan.
October 15, 2017
AI algorithm predicts lung disease, adverse events on CT
By Abraham Kim
Recent studies have demonstrated the power of artificial intelligence (AI) software to detect disease, but how well can it predict future adverse events? The extent to which AI can assess smokers' risk for lung disease on CT was reported in a new study published in the American Journal of Respiratory and Critical Care Medicine.
October 12, 2017
2016 08 02 15 17 42 85 Lungs Red Body 400
NIH opens massive x-ray database to propel AI research
By Abraham Kim
Optimizing artificial intelligence (AI) algorithms for medical applications demands immense stores of imaging data. Researchers may now begin sating that need thanks to an enormous database of chest x-rays recently made available by the U.S. National Institutes of Health (NIH).
October 9, 2017
2017 09 28 16 05 8299 Nih Database X Ray 20170928164634
NIH releases massive database of chest x-rays
By Brian Casey
With the goal of spurring research into medical applications of artificial intelligence, the U.S. National Institutes of Health (NIH) has released to the public a database of more than 100,000 chest x-rays and corresponding data.
September 27, 2017
2017 09 28 16 05 8299 Nih Database X Ray 20170928164634
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