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Physics-based STAGE™ quantitative output and ground truth data used with Canon AiCE (Advanced intelligent Clear-IQ Engine) deep learning reconstruction could significantly expand MRI access for neuroimaging BINGHAM FARMS, MI, and TUSTIN, CA, Jan. 16, 2024 – SpinTech MRI, creators of the STAGE™ (STrategically Acquired Gradient Echo) quantitative magnetic resonance imaging (MRI) software platform, and Canon… “SpinTech MRI and Canon Medical Systems USA Breaking New Ground with the Development of a Fully Quantitative Fast MRI Solution for Clinical Use”

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”

Longer inpatient stays caused by delayed access to MRI are a long-standing and costly issue for hospital systems. It’s been a problem that has resisted solution because it seemingly was defined by limitations imposed by the physics of MRI. Accordingly, efforts to overcome those limitations have focused on improving the speed and efficiency of imaging… “STAGE, MRI Access and the Cost of Inpatient Stays”

The SpinTech MRI team is hard at work preparing for radiology’s biggest event of the year! Here are all the details you need to know about our plan to highlight our STAGE™ platform that speeds image acquisition time by up to 30%, provides radiologists with better quality images, and drives higher revenue and throughput for… “The Road to RSNA with SpinTech MRI”

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”

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”

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”

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”

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”

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”

A view from the front lines at a community health system, with Dr. James Backstrom.

While there’s no doubt that AI-based solutions can play a valuable role in diagnostic imaging, many of the radiology and health system leaders we spoke with at the 2022 RSNA conference were are asking an important question: are today’s AI models the right solutions for improving MRI efficiency? We heard that and similar questions especially… “Improving MRI Efficiency Begins With Asking The Right Questions”