News | Artificial Intelligence | May 29, 2020

With COVID-19 postponing up to 5,000,000 U.S. patients’ MR scans to date, AIR Recon DL can help providers process the backlog faster without compromising image quality

AIR Recon DL delivers shorter scans and better image quality (Photo: Business Wire)

AIR Recon DL delivers shorter scans and better image quality (Photo: Business Wire).


May 29, 2020 — GE Healthcare announced U.S. FDA 510(k) clearance of AIR Recon DL. This pioneering technology, using a deep learning-based neural network, improves the patient experience through shorter scan times while also increasing diagnostic confidence with better image quality across all anatomies. AIR Recon DL, developed on GE Healthcare’s Edison intelligence platform, seamlessly integrates into the clinical workflow to generate AIR Recon DL images in real-time at the operator’s console.

Until now, there was an inherent compromise in MR between image quality and scan time. Better image quality achieved through higher signal-to-noise (SNR) and/or spatial resolution needed to show anatomical detail necessitated long scan times. Shorter scans, aimed to improve patient comfort and productivity, compromised image quality and diagnostic confidence. Now with AIR Recon DL, clinicians and technologists will no longer have to choose between image quality and scan time.

“In our experience, [AIR Recon DL] enables us to back off on the number of [signal] averages or achieve a higher matrix, to either save on scan time or achieve a higher resolution image,” said Hollis Potter, M.D., chairman of the department of radiology and imaging at Hospital for Special Surgery in New York City.

Unlike conventional post processing-based approaches that can obscure image detail, AIR Recon DL is a deep learning-based reconstruction engine making full use of raw data for maximum image quality. In addition to improving SNR, this technology features a unique intelligent ringing suppression that preserves fine image details, helping address two common pain points for radiologists and technologists—image noise and ringing.

AIR Recon DL was developed in partnership with global institutions and has been evaluated on thousands of cases across a wide range of anatomies and patient demographics. Feedback from clinical users has been overwhelmingly positive, including users noticing sharper and less noisy images enabling shorter scan times, increased reader confidence, reducing the need for repeat scans, and more scan-to-scan consistency.

“We are proud to bring the next generation of MR image reconstruction to the industry leveraging the latest technological revolution in artificial intelligence,” said Jie Xue, president and CEO of GE Healthcare MR. “AIR Recon DL benefits clinicians, technologists and patients alike. As we transition to a post-COVID world, MR providers face a significant backlog of patient exams. AIR Recon DL can not only help providers scan more patients per day, but also allows more time to disinfect equipment between patients.”

Partners in the development and clinical validation of AIR Recon DL included Hospital for Special Surgery, University of California San Francisco, RadNet, University of Wisconsin-Madison, MD Anderson Cancer Center, Medical College of Wisconsin, Centre Cardiologique du Nord in France, Erasmus Medical Center in the Netherlands, Centro Cardiologico Monzino in Italy, University of Yamanashi and Keio University in Japan, and Asan Medical Center and Haeundae Paik Hospital in Korea.

AIR Recon DL was developed on GE Healthcare’s Edison intelligence platform, which helps GE and strategic partners design, develop, manage, secure and distribute advanced applications and AI algorithms quickly.

AIR Recon DL is available as an upgrade or with new system purchases. It is currently available on GE Healthcare’s 3.0T MR systems.

For more information: www.ge.com

 


Related Content

News | Radiation Oncology

July 16, 2026 — Raidium has announced the U.S. launch of Raidium Read (R.Read), applying its AI-native imaging solution ...

Time July 16, 2026
arrow
Feature | Information Technology | Kyle Hardner

Artificial intelligence (AI) has enhanced diagnostic accuracy and improved triage in radiology. But far fewer tools ...

Time July 16, 2026
arrow
News | X-Ray

July 14, 2026 — A team of crew members aboard a commercial spaceflight acquired the first diagnostic X-rays during an ...

Time July 14, 2026
arrow
News | Neuro Imaging

July 9, 2026 — Viz.ai has announced a collaboration with Cortechs.ai to integrate Cortechs.ai's NeuroQuant and ...

Time July 10, 2026
arrow
News | PACS

July 8, 2026 — Freeland Systems, a cloud PACS and clinical imaging software company, has launched its new customer ...

Time July 10, 2026
arrow
News | Ultrasound Imaging

July 7, 2026 — Longeviti Neuro Solutions has launched a new strategic initiative, ClearFit AI, a Brain Ultrasound ...

Time July 09, 2026
arrow
News | Prostate Cancer

July 8,2026 — CorePlus, Puerto Rico’s fully digital precision pathology and clinical laboratory, has announced the ...

Time July 08, 2026
arrow
News | MRI Breast

July 2, 2026 – Quibim has announced the European and UK launch of QP-Breast, its CE and UKCA-marked AI tool which ...

Time July 02, 2026
arrow
News | Women's Health

July 1, 2026 — Despite declining birth rates worldwide, the complexity of pregnancy is increasing. Advanced maternal age ...

Time July 01, 2026
arrow
News | Information Technology

June 26, 2026 — Radin Health recently announced the successful deployment of its cloud-native platform at four ...

Time June 26, 2026
arrow
Subscribe Now