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2024 International Women’s Day: Why Inclusion Matters in Neurology and Neuroimaging

The theme of this year’s International Women’s Day (IWD) — “Inspire Inclusion” – takes on added meaning when it comes to neurology and neuroimaging. In fact, data from multiple credible sources indicate that inclusion has impacts on healthcare far beyond improving gender equality. You could even consider “All Hands on Deck” as an alternative theme“2024 International Women’s Day: Why Inclusion Matters in Neurology and Neuroimaging”

SpinTech MRI and Yale New Haven Hospital Collaborate to Examine the Impact of STAGE

SpinTech MRI and Yale New Haven Hospital to Examine Impact of STAGE on MRI Brain Exam Times, Backlogs, Workflows and Outcomes in Routine Clinical Use Collaboration will assess operational and clinical impacts of STAGE through an analysis of neuroimaging efficiency, reporting workflows and clinical outcomes in actual cases BINGHAM FARMS, MI, Nov. 27, 2023 –“SpinTech MRI and Yale New Haven Hospital Collaborate to Examine the Impact of STAGE”

STAGE speed and image clarity: Greater than the sum of its parts

Assumptions about the traditional trade-offs between brain MRI exam speed and image quality are so well established that they comprise an unwritten law of neuroimaging. Our STAGE software effectively repeals that law. It also introduces a new way of thinking about how to take greater advantage of the power of MRI to reduce exam times,“STAGE speed and image clarity: Greater than the sum of its parts”

ASN 2023: The Arrival of Practical QSM Tools Enhanced for Everyday Clinical Practice

Attendees at this year’s American Society of Neuroimaging annual meeting will have their first opportunity to see and hear how quantitative MRI (qMRI) and quantitative susceptibility mapping (QSM) tools are now practical for – and being used in — everyday clinical practice. QSM is just one of the advanced outputs available with STAGE and is“ASN 2023: The Arrival of Practical QSM Tools Enhanced for Everyday Clinical Practice”

Health system priorities for AI and two important questions for radiology leaders

A new report from UPMC’s Center for Connected Medicine and KLAS Research about the AI use cases that health systems are prioritizing over the next few years includes findings about plans for radiology AI that raise two important questions for neuroradiologists and healthcare leaders: Based on a survey of 58 executives and senior managers at“Health system priorities for AI and two important questions for radiology leaders”

STAGE and the Promise and Challenges of New Alzheimer’s Drug Therapies

Radiologists, neurologists, Alzheimer’s patients and their families are rightfully encouraged by the range of new drugs in development to slow or reduce cognitive decline. At the start of 2023 there were 187 trials for 141 drugs addressing Alzheimer’s pathologies. Two drugs, aducanumab and lecanemab, have received accelerated FDA approval in the past two years. A“STAGE and the Promise and Challenges of New Alzheimer’s Drug Therapies”

To Improve MRI Speed, Quality and Efficiency, Start at the Source

There have been a growing number of efforts to improve the balance between MRI speed and image quality while addressing priority concerns about radiologist burnout, staffing shortages, health system financial stability and the clinical needs of an aging population. Methods including mobile dockable exam tables, redesigned MRI suites, and AI-based image reconstruction have shown the“To Improve MRI Speed, Quality and Efficiency, Start at the Source”

Clarity, Speed and Confidence vs. “Widgets”: The key to MRI efficiency

Improving MRI efficiency to improve access to advanced imaging, provider and patient experiences, and health system revenues has been a long-standing goal for radiologists and health system administrators. That’s been true long before the development of radiology AI models for workflow orchestration, task automation and augmented diagnosis. Radiologists have used a variety of practical and“Clarity, Speed and Confidence vs. “Widgets”: The key to MRI efficiency”

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