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Imaging Informatics: Page 83
Deep-learning AI model useful for assessing hip dysplasia
By
Will Morton
Monday, November 28 | 9:30 a.m.-10:30 a.m. | M3-SSMK04-3 | Room N228In this musculoskeletal imaging session, researchers will discuss the use of a commercially available artificial intelligence (AI) algorithm for identifying anatomical landmarks of hip dysplasia on anteroposterior pelvis x-rays.
November 13, 2022
How to find and address workflow challenges in implementing AI
By
Erik L. Ridley
Monday, November 28 | 9:30 a.m.-10:30 a.m. | M3-SSIN02-6 | Room E350In this talk, researchers will describe how they identified and addressed challenges to integrating radiology artificial intelligence (AI) algorithms into their clinical workflow.
November 13, 2022
AI can safely reduce breast imaging workload
By
Amerigo Allegretto
Monday, November 28 | 9:30 a.m.-10:30 a.m. | M3-SSBR03-3 | Room E451AIn a double-reading breast cancer screening program, replacing one reader with artificial intelligence (AI) software can safely reduce about one-third of radiologist workload for low-risk cases, according to this talk.
November 13, 2022
AI algorithm aids in staging of liver fibrosis on CT exams
By
Erik L. Ridley
Sunday, November 27 | 2:30 p.m.-3:30 p.m. | S5-SSGI03-4 | Room S406BAn artificial intelligence (AI) algorithm can yield highly accurate performance for staging liver fibrosis on CT exams, according to this scientific presentation.
November 13, 2022
AI model predicts rib fractures in children
By
Will Morton
Sunday, November 27 | 9:00 a.m.-10:00 a.m. | S1-SSPD01-5 | Room S405In this session, researchers will present a study of artificial intelligence (AI) algorithms they developed to predict the presence of rib fractures in frontal radiographs of children under 2 years old.
November 13, 2022
Bone-age prediction models may not perform as well in real-world
By
Erik L. Ridley
Sunday, November 27 | 9:00 a.m.-10:00 a.m. | S1-SSMK01-06 | Room E451BDeep-learning algorithms that predict bone age on radiographs may struggle to reproduce their high testing accuracy when deployed in the real-world, according to this research presentation.
November 13, 2022
AI algorithm identifies multiple myeloma lesions on whole-body CT
By
Erik L. Ridley
Sunday, November 27 | 9:00 a.m.-10:00 a.m. | S1-SSMK01-2 | Room E451BResearchers from the Mayo Clinic in Rochester, MN, will share how their deep-learning algorithm can detect multiple myeloma lesions on whole-body CT exams.
November 13, 2022
AI algorithm generates 'super-resolution' MR images
By
Matthew Limb
A deep-learning model can generate "super-resolution" synthetic brain MR images from portable MRI scanners, enabling automated quantitative morphometry on these low-field-strength systems, according to a study published November 8 in
Radiology
.
November 10, 2022
Viz.ai to show Viz Aneurysm data at SVIN
By
AuntMinnie.com staff writers
Viz.ai plans to highlight data gleaned from a large hospital network based in Texas that demonstrates the efficacy of its Viz Aneurysm software at the upcoming Society of Vascular and Interventional Neuroradiology (SVIN) meeting in Los Angeles.
November 10, 2022
Laurel Bridge to highlight enterprise imaging updates at RSNA
By
AuntMinnie.com staff writers
Laurel Bridge Software plans to highlight updates to its Enterprise Imaging Workflow Suite at the RSNA meeting.
November 9, 2022
Apollo joins Amazon Web Services Partner Network
By
AuntMinnie.com staff writers
Healthcare IT software developer Apollo Enterprise Imaging said it has joined the Amazon Web Services Partner Network.
November 9, 2022
AI study wins RSNA's Margulis Award
By
AuntMinnie.com staff writers
The RSNA has bestowed its 2022 Alexander R. Margulis Award for Scientific Excellence on an artificial intelligence (AI) study that shows how an algorithm can improve the detection of trauma fractures on x-ray.
November 9, 2022
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