Thoracic Imaging: Page 76

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
Micro-CT helps produce highly detailed 3D-printed lungs
By Abraham Kim
Wednesday, December 4 | 3:10 p.m.-3:20 p.m. | SSM06-02 | Room N227BResearchers from Japan have used micro-CT scans to create magnified 3D-printed lung models and will discuss the potential benefit of using similar models in the evaluation of peripheral lung diseases in this presentation.
November 11, 2019
Researchers propose guideline for EVALI diagnosis
By Abraham Kim
Researchers have developed a preliminary guideline for the clinical management of cases of electronic cigarette, or vaping, product use-associated injury (EVALI). They discuss the details of their guide, which covers everything from diagnosis on chest imaging to follow-up care, in an article published online November 8 in Lancet.
November 10, 2019
2019 11 11 17 56 8284 X Ray Vaping 20191111171703
CDC finds vitamin E acetate in 100% of vaping cases
By Brian Casey
In news that sheds light on the recent outbreak of vaping-related lung disease, the U.S. Centers for Disease Control and Prevention (CDC) on November 8 disclosed that the presence of vitamin E acetate was discovered in 100% of lung fluid samples from 29 patients that were submitted to the agency from 10 states.
November 7, 2019
2019 10 30 23 55 4011 2019 10 31 Vaping Cta 20191030233752
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