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.

Gateway Diagnostic Imaging (GDI) operates 12 sites in North Texas. Striving to increase their operational efficiency GDI implemented the AI-assisted iQMR on their MRI scanners.

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.

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.

“Since “Go live” here at Keller-alliance we have seen a jump of daily scans. We are able to do about 4 additional daily scans.” Maritza Martinez, ​Keller-Alliance Manager, Gateway Diagnostic Imaging

Reliable MRI prostate imaging is challenging. Many imaging centers, owning 1.5T scanners, avoid performing this scanning protocol, due to inadequate scan results.

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