Resources: Page 122

Philips to collaborate with MedChat
By AuntMinnie.com staff writers
Philips Healthcare parent company Royal Philips has entered into a collaboration with MedChat to integrate that firm's live chat and artificial intelligence-based chatbot capabilities into Philips' Patient Navigation Manager software.
November 21, 2021
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Nordson enters medical imaging DR market
By AuntMinnie.com staff writers
Industrial x-ray technology developer Nordson has launched a new line of flat-panel digital radiography (DR) detectors for medical imaging applications.
November 21, 2021
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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
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The future of reporting
By Prof. Dr. med. Alexander Huppertz
Radiology imaging is almost entirely digitized, yet the outcome of the whole radiology process -- the report -- is still reliant on free-text dictation, a process that has changed little over the last 50 years.
November 21, 2021
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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
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