Chest Radiology: Page 83

ALA: CT lung screening has 'lifesaving' potential
By Abraham Kim
In its annual report on lung cancer in the U.S., the American Lung Association (ALA) on November 13 highlighted the benefits of CT lung screening and its contribution to a 26% improvement in the five-year survival rate of lung cancer patients over the past decade.
November 12, 2019
2018 07 26 18 08 5552 Lungs Red 400
Should CT be added to criteria for diagnosing COPD?
By Abraham Kim
Researchers from Colorado have proposed expanding the diagnostic criteria for chronic obstructive pulmonary disorder (COPD) to consider CT data along with a patient's symptoms, environmental exposure, and spirometry results in a study recently published in Chronic Obstructive Pulmonary Diseases: Journal of the COPD Foundation.
November 12, 2019
2018 12 18 23 50 2740 Lung Lab 400
DICOM can still help improve digital radiography
By Wayne Forrest
Thursday, December 5 | 11:40 a.m.-11:50 a.m. | SSQ11-08 | Room N229Clinical DICOM headers contain a wealth of information that imaging centers can use to optimize image quality and improve digital radiography equipment utilization, according to researchers from the Mayo Clinic.
November 12, 2019
AI can help reduce errors in chest x-ray reads
By Wayne Forrest
Wednesday, December 4 | 3:30 p.m.-3:40 p.m. | SSM15-04 | Room E353BWith the help of artificial intelligence (AI), imaging centers can reduce radiologists' errors and improve quality assurance in chest x-ray interpretations and report generation, researchers will report in this Wedneday afternoon session.
November 12, 2019
Abnormal chest x-rays could use this classifier
By Wayne Forrest
Wednesday, December 4 | 3:20 p.m.-3:30 p.m. | SSM14-03 | Room E353CIn this presentation, researchers from the U.S. National Institutes of Health will provide details on their work to develop an artificial intelligence method to automatically determine abnormalities on chest radiographs.
November 12, 2019
AI algorithm helps with x-ray rib fracture results
By Wayne Forrest
Tuesday, December 3 | 11:50 a.m.-12:00 p.m. | SSG08-09 | Room E451AIn this presentation, researchers will offer details on an artificial intelligence (AI) algorithm that could help radiologists detect rib fractures using conventional frontal x-rays and also function as a second reader for missed fractures.
November 12, 2019
Can AI generate clinically appropriate x-ray reports?
By Wayne Forrest
Tuesday, December 3 | 11:40 a.m.-11:50 a.m. | SSG06-08 | Room S406AArtificial intelligence (AI) has the potential to produce standardized, accurate x-ray reports in a timely manner that are easy to comprehend in the clinical setting, according to a study to be presented on Tuesday.
November 12, 2019
Bone density tests have a friend in deep learning
By Wayne Forrest
Monday, December 2 | 11:50 a.m.-12:00 p.m. | SSC09-09 | Room E450BThe potential for deep learning to objectively estimate bone mineral density on standard chest x-rays is the focus of this Monday presentation.
November 12, 2019
How to handle chest x-rays for pneumothorax
By Wayne Forrest
Monday, December 2 | 11:10 a.m.-11:20 a.m. | SSC04-05 | Room S102CDWhat's the best approach with chest radiography to detect air between the lungs and chest wall that could result in a collapsed lung? Researchers from Boston explored three options.
November 12, 2019
Deep learning adds to chest x-ray diagnoses
By Wayne Forrest
Monday, December 2 | 11:00 a.m.-11:10 a.m. | SSC08-04 | Room E450ADeep-learning algorithms can help radiologists accurately diagnose abnormalities in chest x-rays and improve their performance, according to this Monday presentation.
November 12, 2019
A quick, efficient way to spot normal chest x-rays
By Wayne Forrest
Sunday, December 1 | 1:00 p.m.-1:30 p.m. | AI261-SD-SUB2 | Lakeside, AI Community, Station 2Are you looking for an efficient way to identify normal chest x-rays with high sensitivity, save your radiologists time, and expedite the generation of reports? The findings from this study could help.
November 12, 2019
Deep-learning algorithm bolsters lung cancer detection
By Erik L. Ridley
Radiologists using a deep-learning algorithm can detect more cases of lung cancer on chest radiographs than they could without help from the software, while also having fewer false positives, according to research published online November 12 in Radiology.
November 11, 2019
2019 11 12 00 45 6964 2019 11 12 Deep Learning Lung Nodules 20191112005404
Previous Page
Page 83 of 207
Next Page