Imaging Informatics: Page 145

Road to RSNA 2021: Imaging Informatics Preview

By Erik L. Ridley

Our next destination on the Road to RSNA is imaging informatics -- specifically, enterprise imaging, cybersecurity, structured reporting, clinical decision support, analytics, radiomics, and issues regarding patient access to radiology results.

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

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

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

Prediction model forecasts need for COVID-19 resources

By Erik L. Ridley

Wednesday, December 1 | 1:30 p.m.-2:30 p.m. | SSMS05-5 | Room S405In this talk, researchers will describe how data in the electronic medical record can be used to predict if a COVID-19 patient will need to be admitted to the hospital.

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

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