Visit the Medic Vision (booth #4538) at RSNA 2023 to learn how you can streamline MRI processes, reduce wait times, and boost overall productivity. Discover the financial and operational advantages for your organization
A review of a study addressing the trade-off between MRI scan time reduction and the need for diagnostic precision. In this webinar, Dr. Gregory Stenoien will present a comprehensive study conducted across the United States, Brazil, and Israel.
Claustrophobia remains a significant concern for patients undergoing MRI scans, affecting their overall experience and potentially leading to lower scan completion rates.
The incorporation of iQMR can significantly enhance the MRI experience for claustrophobic patients by reducing scan times by up to 40%.
Gateway Diagnostic Imaging in Texas implemented iQMR, an AI-assisted technology that enabled them to shorten wrist scan time by 50% while maintaining image quality. This in turn allowed for reduced appointment times from 45 minutes to only 30 minutes.
Traditional pediatric MRI scans often require sedation, presenting drawbacks and concerns. However, utilizingan AI-assisted image enhancement technology called iQMR enables shorter scan times in the hope of decreasing this need.
On Demand Webinar – Discover how imaging centers in the US and Brazil improved MRI workflow efficiency and increased profitability with an AI solution.
A recent study conducted by a team of researchers from multiple sites around the world has shown that the use of deep-learning super-resolution algorithms in neuro MRI scans can substantially improve image quality and scan time.
MRI is an effective diagnostic tool for intramuscular lipomas because it can provide highly detailed images of soft tissues, including fat cells, muscles, and connective tissue. This lower extremity short MRI scan processed by iQMR shows intramuscular lipoma. The pathology is much clearer on the processed image
On Demand Webinar – A comprehensive review of cutting-edge and traditional image enhancement techniques and their applications in radiology, offering you valuable insights as an imaging professional
iQMR processing of the knee MRI scan, though 69% shorter, resulted in high-resolution images that allow clearer visualization of existing pathologies. As knee MRI scans are among the most common types of scans performed, reducing scan time could be highly beneficial in increasing productivity and MRI efficiency
An imaging center was facing a major challenge with their Philips Ingenia 1.5T MRI scanner. Their abdominal scans were of suboptimal quality which put them in a challenging position compared to other centers in their region, due to inadequate scan results.
Alliar, the third-largest diagnostic imaging provider in Brazil has more than 100 outpatient imaging centers across the country. provides imaging services to 10,000 people a month and performs more than 800,000 MRI exams per year with more than 100 scanners of various makers and types.
At this year’s RSNA, the discussions about AI moved from “does AI work?” to the value AI can offer in helping imaging providers and radiologists address today’s challenges, mainly staffing shortages and reduced rates.
Alliar, Brazil, has implemented iQMR on 36 scanners of different models, across 7 cities in 4 different Brazilian states. Implementing iQMR AI-assisted technology helps decrease the percentage of rescans and recalls, resulting in higher MRI efficiency and increased MRI productivity.
A study led by Dr. Roni Shreter, of Hillel Yafe Hospital in Israel, shows that a novel deep learning algorithm developed by Medic Vision (iQMR) enables a significant reduction of 30% in brain MRI scan times, with no impairment of image quality and clinical value.
Implementation of AI-assisted Technology to Enhance Service Quality and Productivity in Outpatient Diagnostic Centers
Implementing iQMR at Houston Medical Imaging, Texas results in reducing MRI scan time by approx. 40% on average. This add-on product can make a huge effect on the day-to-day workflow and allow handling the workload with a smaller staff
The female pelvis is one of the longest protocols executed on MRI. Many patients find it very difficult and can’t refrain from moving. Implementing iQMR reduced exam time from 60-75 minutes to 45.