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Imaging Informatics: Page 229
CT radiomics predicts esophageal cancer outcomes
By
Erik L. Ridley
Machine-learning models that assess both peritumoral and intratumoral radiomics features on pretreatment CT images can yield a promising level of performance for predicting treatment outcomes in patients with esophageal squamous cell carcinoma, according to research published online September 10 in
JAMA Network Open
.
September 10, 2020
Samsung to use Intel for fetal ultrasound measurements
By
AuntMinnie.com staff writers
Samsung Medison has announced a collaboration with Intel for its ultrasound fetal measurement software.
September 9, 2020
Lunit touts AI mammography studies
By
AuntMinnie.com staff writers
Artificial intelligence (AI) image analysis software developer Lunit is touting results from two recent studies that found its Insight MMG software was as accurate as an average radiologist at identifying breast cancer from mammograms.
September 9, 2020
RapidAI launches web app, wins ISO certification
By
AuntMinnie.com staff writers
Artificial intelligence (AI) software developer RapidAI has launched a new app that delivers AI functionality within web browsers. The company also announced that it has received International Organization for Standardization (ISO) 27001 data security and management certification.
September 9, 2020
NordicCAD unveils AI-based knee segmentation software
By
AuntMinnie.com staff writers
Norwegian artificial intelligence (AI) software developer NordicCAD has introduced MR Segmentation Tool, an AI-based software package designed to segment knee structures on high-resolution MR images.
September 9, 2020
Medical imaging AI market projected for strong growth
By
Sanjay M. Parekh, PhD
The world market for artificial intelligence (AI)-based clinical applications for use in medical imaging is set to reach almost $1.5Â billion by 2024, despite a slower-than-expected uptake of these products and the impact of the COVID-19 pandemic, according to a new report from Signify Research.
September 9, 2020
PET radiomics tailor head/neck cancer treatment
By
Kate Madden Yee
Radiomic factors -- that is, image-based tumor phenotypes -- gleaned from F-18 FDG PET exams can help clinicians personalize care and better predict treatment outcomes for patients with head and neck squamous cell carcinoma, according to a study published September 7 in
EJNMMI Research
.
September 9, 2020
Telemis introduces new version of software
By
AuntMinnie.com staff writers
PACS vendor Telemis has unveiled a new version of its Telemis-Medical PACS software.
September 8, 2020
Meditech, Nuance launch virtual assistant
By
AuntMinnie.com staff writers
Healthcare information systems firm Meditech and Nuance Communications have partnered to launch a virtual assistant with voice-driven navigation to help physicians use electronic health record applications.
September 8, 2020
UCSD is 1st to get Canon's AI-based MRI
By
AuntMinnie.com staff writers
University of California, San Diego (UCSD) Health is the first facility in the U.S. to install a 3-tesla MRI system from Canon Medical Systems USA that includes artificial intelligence-(AI) based reconstruction.
September 8, 2020
Hyland to buy content services firm Alfresco
By
AuntMinnie.com staff writers
Enterprise imaging firm Hyland Healthcare has signed an agreement to acquire Alfresco, a developer of content services and software for businesses.
September 8, 2020
Change Healthcare inks deal with Vizient
By
AuntMinnie.com staff writers
Healthcare information systems vendor Change Healthcare has signed a two-year deal that makes its enterprise imaging platform available to members of the group purchasing organization Vizient.
September 8, 2020
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