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Resources: Page 99
Deep-learning tool can help in THA surveillance
By
Will Morton
Tuesday, November 30 | 8:00 a.m.-9:00 a.m. | SSMK05-3 | Room TBAResearch to develop a fully automated deep-learning tool to measure femoral component subsidence on hip x-ray without any user input will be discussed in this Tuesday morning session. A team at the Mayo Clinic in Rochester, MN, believes that its artificial intelligence-enabled algorithm could improve total hip arthroplasty (THA) radiographic surveillance efforts.
November 16, 2021
Researchers test x-ray prototype
By
Will Morton
Monday, November 29 | 1:30 p.m.-2:30 p.m. | SSPH04-5 | Room TBAThis talk will cover a prototype of a low-dose, multicontrast chest x-ray system that can provide three mutually complementary images from a single acquisition. The new system is fast and eventually could be put to use diagnosing and screening for lung cancer, researchers suggest.
November 16, 2021
CNN model can help diagnose foot deformity
By
Will Morton
Sunday, November 28 | 1:00 p.m.-2:00 p.m. | SSMK03-2 | Room TBASouth Korean researchers will report in this session on a convolutional neural network (CNN) model for automatically diagnosing foot deformity on standing lateral radiographs of the foot. The model appears to work well enough to help in settings with inexperienced readers, according to the group.
November 16, 2021
RadLogics
19 E 73rd St Apt 5 New York, NY 10021
Guarding-U
580 Opperman Rd Eagan, MN 55123
Philips receives clearance for liver fat quantification tools
By
AuntMinnie.com staff writers
Philips recently received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for its liver fat quantification tools.
November 15, 2021
Breast volume helps determine radiation dose for spiral breast CT
By
Kate Madden Yee
Tuesday, November 30 | 9:30 a.m.-10:30 a.m. | SSPH09-1 | Room TBARadiation dose for a novel spiral breast CT scanner can be determined by measuring breast volume, according to this presentation.
November 15, 2021
Photon-counting CT makes modality more effective for breast imaging
By
Kate Madden Yee
Tuesday, November 30 | 9:30 a.m.-10:30 a.m. | SSPH09-5 | Room TBAIn this Tuesday morning presentation, research findings will show how high-resolution photon-counting CT used with deep-learning image processing can expand the modality's role in breast cancer imaging.
November 15, 2021
Road to RSNA 2021: Women's Imaging Preview
By
Amerigo Allegretto
At RSNA 2021, attendees will have the chance to learn about new and improved ways to detect and diagnose breast cancers, screening methods that combine multiple imaging modalities, the role of artificial intelligence in reducing false positives and improving accuracy, the continued emergence of digital breast tomosynthesis, abbreviated breast MRI, and more.
November 15, 2021
AI model shows promise in detecting lesions from DBT data
By
Amerigo Allegretto
Wednesday, December 1 | 3:00 p.m.-4:00 p.m. | SSBR09-3 | Room TBAFinish your RSNA week off right with this presentation, in which researchers will discuss an artificial intelligence (AI) algorithm that detects lesions using datasets from digital breast tomosynthesis (DBT) exams.
November 15, 2021
Deep-learning tool triages women with decreased breast density
By
Amerigo Allegretto
Wednesday, December 1 | 3:00 p.m.-4:00 p.m. | SSBR09-4 | Room TBAIn this Wednesday talk, researchers will present findings from their study of nearly 2,700 women that used a convolutional neural network in predicting mammographic density percentage from MRI scans.
November 15, 2021
Hypofractionated radiation therapy stops vaginal bleeding faster
By
Amerigo Allegretto
Wednesday, December 1 | 9:30 a.m.-10:30 a.m. | SSRO03-2 | Room TBAIn this presentation, researchers from the University of Alabama at Birmingham will look at the effects of radiotherapies on vaginal bleeding for women with gynecological tumors.
November 15, 2021
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