Imaging Informatics: Page 334

The true cost of downtime in radiology

By Kyle Henson

Nobody likes downtime in radiology. But in addition to causing annoyance and disruption, system outages can cost the average hospital hundreds of thousands of dollars a year, according to Kyle Henson. That means it's more important than ever to perform proactive monitoring to ensure your system doesn't go down in the first place.

January 17, 2019

AuntMinnie.com Advanced Visualization Insider

By Abraham Kim

January 16, 2019

How AI will become an integral part of standard care

By Elad Walach and Dr. Carl Aschkenasi

The current medical landscape for artificial intelligence (AI) allows for early adopters to embrace AI innovation with ease, yet it has left the majority of medical institutions struggling to catch up. Elad Walach and Dr. Carl Aschkenasi examine what needs to happen for AI to become an integral part of the standard of care.

January 16, 2019

The renaissance of PACS -- and why it didn't deconstruct

By Simon Häger

Five years ago saw the birth of "deconstructed PACS" -- the idea that hospitals and imaging centers could acquire digital imaging components in a best-of-breed fashion, rather than purchasing an entire PACS network from a single vendor. Simon Häger of Sectra takes a look a deconstructed PACS and its role in radiology.

January 16, 2019

AI can differentiate glioblastoma, brain metastasis

By Erik L. Ridley

The combination of radiomics and an artificial intelligence (AI) algorithm can yield a high rate of accuracy for differentiating between glioblastoma and solitary brain metastasis on T1-weighted MRI exams, according to research published online January 11 in the Journal of Magnetic Resonance Imaging.

January 15, 2019

Personalized treatment fights early-stage kidney cancer

By Erik L. Ridley

Personalized treatment plans based on computer models can help improve life expectancy for early-stage kidney cancer patients who have risk factors for worsening kidney disease, according to research published online January 15 in Radiology.

January 14, 2019

iSchemaView wins new FDA clearance for Rapid platform

By AuntMinnie.com staff writers

Cerebrovascular imaging software developer iSchemaView has received an additional clearance from the U.S. Food and Drug Administration (FDA) for its Rapid neuroimaging platform, enabling its use in identifying stroke patients who are likely to benefit from a clot removal procedure.

January 14, 2019

RadMD, AG Mednet launch new service for clinical trials

By AuntMinnie.com staff writers

Clinical trial imaging services provider RadMD and imaging exchange network AG Mednet have signed an agreement to provide a high-quality, cost-effective image reading and storage service for clinical studies.

January 14, 2019

3D-printed implants anchor spinal cord regeneration

By AuntMinnie.com staff writers

Researchers from California have created 3D-printed implants modeled from MRI scans of spinal cord injuries and used them to promote the regeneration of nerve cells in the spinal cord, according to an article published online January 14 in Nature Medicine.

January 14, 2019

Change Healthcare partners with Health Fidelity

By AuntMinnie.com staff writers

Healthcare information systems vendor Change Healthcare and clinical natural language processing (NLP) software firm Health Fidelity are working together to integrate NLP and machine-learning technology into risk-adjustment coding.

January 13, 2019

Machine learning, fMRI unlock cellular brain properties

By Erik L. Ridley

The combination of machine learning and functional MRI (fMRI) can reveal the cellular properties of brain regions, offering potential for noninvasive assessment of treatments for neurological diseases and the use of individualized therapies, according to research published online January 9 in Science Advances.

January 10, 2019

FDA unveils draft framework for Pre-Cert pilot program

By AuntMinnie.com staff writers

The U.S. Food and Drug Administration (FDA) has released a draft regulatory framework and other new documents that delineate the agency's vision and plans for its Software Precertification (Pre-Cert) initiative for developers of medical software, including artificial intelligence applications.

January 10, 2019

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