AI: Page 184

Machine-learning model predicts interpretation delays
By Erik L. Ridley
Thursday, December 5 | 11:00 a.m.-11:10 a.m. | SSQ11-04 | Room N229A machine-learning algorithm can predict delays in performing and interpreting on-call radiology exams, a team of California researchers will report in this presentation.
November 13, 2019
Life Image signs AI deal with Baystate Health
By AuntMinnie.com staff writers
Medical image-sharing technology developer Life Image has formed a strategic partnership with Baystate Health, an integrated nonprofit health system based in Springfield, MA.
November 12, 2019
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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
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
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
PaxeraHealth to show AI-based enterprise imaging at RSNA 2019
By AuntMinnie.com staff writers
PACS/RIS developer PaxeraHealth will highlight its updated PaxeraUltima360 artificial intelligence (AI)-based enterprise imaging software at RSNA 2019 in Chicago.
November 11, 2019
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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
Study: Public image datasets may have QC issues
By Erik L. Ridley
Two large public image datasets commonly used to train artificial intelligence algorithms have quality control (QC) issues that could potentially limit their utility, according to research published online November 6 in Academic Radiology.
November 10, 2019
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ClariPi's CT denoising software gets FDA OK
By AuntMinnie.com staff writers
Software developer ClariPi has received clearance from the U.S. Food and Drug Administration (FDA) for its ClariCT.AI artificial intelligence-based CT denoising algorithm.
November 10, 2019
2019 11 08 23 30 3616 Clari Pi Software
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