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AI: Page 100
Combining radiomics, AI with PET/MRI helps assess nodal status
By
Amerigo Allegretto
Sunday, November 28 | 10:30 a.m.-11:30 a.m. | SSNMMI01-3 | Room N226Here, researchers will talk about how applying radiomics and machine learning to FDG-PET/MRI can noninvasively assess nodal status and treatment planning for breast cancer patients.
November 22, 2021
FDA clears Siemens' mammography workflow software
By
AuntMinnie.com staff writers
The U.S. Food and Drug Administration (FDA) has cleared two new mammography reading and workflow optimization software from Siemens Healthineers.
November 21, 2021
Models predict mortality risk on total-body DEXA exams
By
Erik L. Ridley
Sunday, November 28 | 1:00 p.m.-2:00 p.m. | SSMK03-3 | Room S402Artificial intelligence can spot changes in body composition over time on total-body dual-energy x-ray absorptiometry (DEXA) exams and predict mortality risk, according to this presentation.
November 21, 2021
'Plug-and-play' AI method helps with microcalcifications on DBT
By
Amerigo Allegretto
Tuesday, November 30 | 9:30 a.m.-10:30 a.m. | SSPH09-6 | Room S405Researchers will present results from a "plug-and-play" artificial intelligence (AI) algorithm that they say has the potential to improve detection of microcalcifications on digital breast tomosynthesis (DBT) images.
November 21, 2021
Deep-learning tool can help in total hip arthroplasty surveillance
By
Will Morton
Tuesday, November 30 | 8:00 a.m.-9:00 a.m. | SSMK05-3 | Room S406BResearch 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.
November 21, 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 S406BIn 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 21, 2021
Combining radiomics, AI with PET/MRI helps assess nodal status
By
Amerigo Allegretto
Sunday, November 28 | 10:30 a.m.-11:30 a.m. | SSNMMI01-3 | Room N226Here, researchers will talk about how applying radiomics and machine learning to FDG-PET/MRI can noninvasively assess nodal status and treatment planning for breast cancer patients.
November 21, 2021
Machine learning predicts adverse cardiac events from reports, EMR
By
Erik L. Ridley
Wednesday, December 1 | 1:30 p.m.-2:00 p.m. | SSCA09-6 | Room E352Adverse cardiac events can be predicted from machine learning-based analysis of radiology reports and electronic medical record (EMR) data, according to this scientific presentation.
November 21, 2021
Can AI predict radiology study volume and turnaround times?
By
Erik L. Ridley
Wednesday, December 1 | 9:30 a.m.-10:30 a.m. | SSIN06-5 | Room E350Although an artificial intelligence (AI) algorithm can predict daily radiology study volume, it's still not ready to be used to optimize radiologist scheduling, according to this scientific presentation.
November 21, 2021
Within Health inks deal, will debut at RSNA 2021
By
AuntMinnie.com staff writers
Artificial intelligence software developer Within Health has expanded its partnership with Einstein Healthcare Network in Pennsylvania.
November 18, 2021
How will AI affect radiologist productivity?
By
Erik L. Ridley
Artificial intelligence (AI) software can offer much value in radiology. But those benefits don't have to come at the cost of added burden for radiologists, if new research published online November 17 in
Academic Radiology
is any indication.
November 17, 2021
Deep-learning algorithm triages emergency head CTs
By
Erik L. Ridley
Wednesday, December 1 | 1:30 p.m.-2:30 p.m. | SSMS05-3 | Room TBAA deep-learning algorithm trained on only normal head CT exams can triage emergency cases for priority review by radiologists, according to this presentation.
November 17, 2021
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