Cutting-edge iQMR technology at Advanced Imaging Concepts in Florida enabled cutting down MRI scan times by up to 50%! Discover how this AI-enhanced tech is transforming patient experiences with faster, high-quality scans in more comfortable open MRI machines.

Our recent multisite case study unveils how cutting-edge AI-assisted MRI image enhancement technology, iQMR, is revolutionizing MRI operations, demonstrating significant improvements in efficiency, productivity, and patient experience across high-volume imaging centers.

An Insightful Guide to MRI AI Enhancement Techniques, Clarifying Terminology and Underlining Their Impact on Your Radiology Practice

iQMR® technology transforms liver MRI by reducing scan times and enhancing image quality, ensuring crucial findings like lesions are more conspicuously captured and accurately represented.

Female pelvis MRI scan is a vital tool, offering detailed insights crucial for diagnosing and managing a broad spectrum of conditions. The long duration of these scans is a challenge, answered by iQMR, enabling a substantial time reduction for these scans while maintaining image quality

Many imaging centers equipped with older MRI scanners encounter difficulties such as generating inferior quality images, experiencing a decline in referrals, and even facing challenges in meeting accreditation standards. iQMR, offers a innovative solution to these issues.

Medic Vision’s generative AI assisted technology, iQMR, revolutionizes MRI imaging by significantly enhancing image quality and enabling a substantial reduction of scan times, as demonstrated in a study led by Dr. Roni Shreter

RSNA 2023 reflects critical challenges in radiology: manpower shortages, Medicare cuts, and the pivotal role of AI in enhancing MRI productivity and efficiency through iQMR technology.

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