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Clinical News: Page 386
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
What impedes follow-up of incidental lung nodules?
By
Erik L. Ridley
Prerecorded, available throughout the meeting | SPR-NPM-5In this scientific talk, researchers will discuss how structured recommendations and electronic health record tracking affect the completion rate for follow-up of incidental lung nodules.
November 21, 2021
What factors affect liver metastasis detection performance?
By
Erik L. Ridley
Thursday, December 2 | 8:00 a.m.-9:00 a.m. | SSPH14-2 | Room S402Image navigation patterns and subspecialization was associated with better performance of abdominal CT scans to detect liver metastasis, 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
CT radiomics help stratify risk in NSCLC patients
By
Erik L. Ridley
Tuesday, November 30 | 3:00 p.m.-4:00 p.m. | SSIN05-1 | Room S401In this session, researchers will share how CT radiomics can enable prognostic stratification in patients with non-small cell lung cancer (NSCLC).
November 21, 2021
Clinical decision-support software gets a helping hand from AI
By
Erik L. Ridley
Sunday, November 28 | 10:30 a.m.-11:30 a.m. | SSIN01-2 | Room E350In this talk, researchers will share positive results from providing clinicians with artificial intelligence (AI)-assisted clinical indications when ordering imaging studies using clinical decision-support software.
November 21, 2021
Radiomics helps predict rectal cancer treatment response
By
Erik L. Ridley
Sunday, November 28 | 10:30 a.m.-11:30 a.m. | SSGI01-1 | Room S404The combination of radiologist assessment and a radiomics classifier can significantly improve the accuracy of MRI for predicting treatment response in cases of rectal cancer, according to this scientific presentation.
November 21, 2021
CaliberMRI unveils MRI quality control platform
By
AuntMinnie.com staff writers
Quantitative MRI technology developer CaliberMRI has introduced quantitative MRI analysis hardware and software designed to calibrate MRI scanners and standardize data to enable comparison across imaging sites.
November 18, 2021
Teamwork reduces variability in surveillance mammography
By
Amerigo Allegretto
Collaboration between referring clinicians and radiologists could decrease variability in surveillance imaging for breast cancer survivors, according to a survey study published November 17 in the
Journal of the American College of Radiology
.
November 18, 2021
Monrol and MTTI ink Lu-177 supply deal
By
AuntMinnie.com staff writers
EczacıbaŞı-Monrol Nuclear Products has signed an agreement to supply Molecular Targeting Technologies (MTTI) with no-carrier-added lutetium-177 (Lu-177).
November 18, 2021
ACR lauds new lung cancer screening guidelines from CMS
By
AuntMinnie.com staff writers
The American College of Radiology (ACR) is lauding proposed new guidelines from the U.S. Centers for Medicare and Medicaid Services (CMS) for reimbursement of CT lung cancer screening.
November 18, 2021
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