Enterprise Imaging: Page 28

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

Structured reporting speeds up resident reports

By Erik L. Ridley

Monday, November 29 | 9:30 a.m.-10:30 a.m. | SSIN02-2 | Room S401Structured reporting can significantly speed up report turnaround times for neuroradiology residents, according to this scientific presentation.

November 21, 2021

Does patient image access affect radiologist workloads?

By Erik L. Ridley

Sunday, November 28 | 10:30 a.m.-11:30 a.m. | SSIN01-6 | Room E350In this study, a multi-institutional research team found that patient access to radiology images on online patient portals tended not to affect radiologists very much.

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

Double Black unveils new 12-megapixel display

By AuntMinnie.com staff writers

Display supplier and calibration software developer Double Black Imaging will be introducing its Gemini 12-megapixel display at next week's RSNA 2021 meeting in Chicago.

November 18, 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

HealthLevel to showcase SaaS platform updates at RSNA 2021

By AuntMinnie.com staff writers

HealthLevel will highlight updates to its Foundations software-as-a-service (SaaS) business operations analytics platform at RSNA 2021.

November 17, 2021

Sirona, RevealDX announce partnership on AI integration

By AuntMinnie.com staff writers

Sirona Medical is partnering with RevealDx in an effort that will allow RevealDx to integrate its RevealAI-Lung artificial intelligence (AI) algorithm into Sirona's unified radiology workflow software, Workspace.

November 17, 2021

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