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Minnies
Resources: Page 100
PET/MRI shows prowess for nodal staging in breast cancer
By
Amerigo Allegretto
Sunday, November 28 | 10:30 a.m.-11:30 a.m. | SSNMMI01-4 | Room TBAIn this presentation, researchers will compare nodal staging between CT, MRI, and FDG-PET/MRI in patients with newly diagnosed breast cancer.
November 15, 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 TBAHere, 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 15, 2021
DBT continues to show promise a decade after commercial availability
By
Amerigo Allegretto
Sunday, November 28 | 10:30 a.m.-11:30 a.m. | SSBR01-2 | Room TBAPresenters will give the verdict on whether digital breast tomosynthesis (DBT) has been a successful screening method since the first commercially available system was released in 2011.
November 15, 2021
Pandemic affected DBT recall, false-positive rates
By
Amerigo Allegretto
Sunday, November 28 | 10:30 a.m.-11:30 a.m. | SSBR01-6 | Room TBAIn this Sunday presentation, researchers will discuss the results of a study measuring how the COVID-19 pandemic affected recall and false-positive rates for digital breast tomosynthesis (DBT) and digital mammography.
November 15, 2021
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Road to RSNA 2021: Artificial Intelligence Preview
By
Erik L. Ridley
Welcome to the first installment of this year's Road to RSNA preview of the RSNA 2021 meeting, which will return to McCormick Place after a one-year hiatus due to the COVID-19 pandemic. Fittingly, our journey along the Road to RSNA begins with our preview of artificial intelligence.
November 14, 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 TBAIn this talk, researchers will discuss an artificial intelligence (AI) algorithm that detects lesions using datasets from digital breast tomosynthesis (DBT) exams.
November 14, 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 14, 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 TBAResearchers 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 14, 2021
AI reduces false positives on breast ultrasound
By
Amerigo Allegretto
Monday, November 29 | 3:00 p.m.-4:00 p.m. | SSBR04-6 | Room TBAResearchers will present their findings from a clinical trial that used artificial intelligence (AI) in an effort to reduce false positives on breast ultrasound.
November 14, 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 TBAHere, 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 14, 2021
AI-based measurements increase utility of cardiac MRI
By
Erik L. Ridley
Thursday, December 2 | 9:30 a.m.-10:30 a.m. | SSCA10-1 | Room TBAAutomated cardiac MRI measurements correlate better with invasive pulmonary hemodynamics than manual measurements and could also help in predicting mortality, according to this study.
November 14, 2021
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