Imaging Informatics: Page 347

Can local use guidelines reduce inappropriate imaging?

By Erik L. Ridley

Imaging utilization rules based on national guidelines may not cover all clinical circumstances. Appropriate use criteria based on local best practices can fill this gap, however, and help avoid inappropriate imaging, according to research published online November 7 in the American Journal of Roentgenology.

November 11, 2018

AI firm Visla Labs adds $3M in funding

By AuntMinnie.com staff writers

Imaging artificial intelligence (AI) software developer Visla Labs said it has raised $3 million in seed funding.

November 7, 2018

3D head models reduce workload for brain radiotherapy

By Abraham Kim

3D-printed models of human heads may remove the need for brain cancer patients to undergo a simulation CT exam before receiving whole-brain radiotherapy -- reducing costs and increasing workflow efficiency, according to an article published in the January issue of Technology in Cancer Research and Treatment.

November 7, 2018

Road to RSNA 2018: Imaging Informatics

By Erik L. Ridley

Our final destination on the Road to RSNA is imaging informatics, and specifically PACS, cybersecurity, structured reporting, clinical decision support, radiation dose-monitoring software, analytics, and issues regarding patient access to radiology results.

November 7, 2018

Patients often struggle to comprehend radiology reports

By Erik L. Ridley

Thursday, November 29 | 12:45 p.m.-1:15 p.m. | IN235-SD-THB1 | Lakeside, IN Community, Station 1Neuroradiology CT and MRI reports are written at a level too high for the average patient to understand, according to this poster presentation.

November 7, 2018

Natural language processing yields rad-path correlation

By Erik L. Ridley

Thursday, November 29 | 11:40 a.m.-11:50 a.m. | SSQ11-08 | Room S103ABResearchers from California will reveal how natural language processing technology can facilitate the correlation between radiologic and pathologic findings.

November 7, 2018

Software enables use of quantitative imaging biomarkers

By Erik L. Ridley

Thursday, November 29 | 11:30 a.m.-11:40 a.m. | SSQ11-07 | Room S103ABA group from Stanford University will showcase a software plug-in that can make it easier for radiologists to assess quantitative imaging biomarkers when evaluating patient response to cancer treatment.

November 7, 2018

Radiation dose analytics improves patient safety

By Erik L. Ridley

Thursday, November 29 | 11:20 a.m.-11:30 a.m. | SSQ18-06 | Room N228Retrospective quantitative assessment of radiation dose on CT studies can yield valuable insights for improving consistency and patient safety, researchers from Duke University have found.

November 7, 2018

Machine-learning software predicts need for CT contrast

By Erik L. Ridley

Thursday, November 29 | 11:20 a.m.-11:30 a.m. | SSQ11-06 | Room S103ABIn this talk, researchers from California will present their machine learning-based method for automatically determining if contrast is needed for a CT exam.

November 7, 2018

Software standardizes proprietary imaging annotations

By Erik L. Ridley

Thursday, November 29 | 11:10 a.m.-11:20 a.m. | SSQ11-05 | Room S103ABImaging annotations stored in a proprietary fashion can be converted into a standardized format, enabling interoperability and automated lesion matching across sequential imaging studies, according to this presentation.

November 7, 2018

Software automates RADS assessment categorization

By Erik L. Ridley

Thursday, November 29 | 10:30 a.m.-10:40 a.m. | SSQ11-01 | Room S103ABIn this presentation, researchers will describe how a multimedia structured reporting software application can automate the determination of assessment categories for BI-RADS and similar schemas.

November 7, 2018

Imaging CDS pilot reveals factors for success

By Erik L. Ridley

Wednesday, November 28 | 11:50 a.m.-12:00 p.m. | SSK11-09 | Room S104APennsylvania researchers learned some valuable lessons when they implemented imaging clinical decision-support (CDS) software, which they'll share in this Wednesday talk.

November 7, 2018

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