We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Artificial Intelligence Add-On for `World’s First` Portable MR Imaging System Receives FDA Clearance

By MedImaging International staff writers
Posted on 19 Jan 2021
Print article
Image: Swoop Portable MR Imaging System (Photo courtesy of Hyperfine Research, Inc.)
Image: Swoop Portable MR Imaging System (Photo courtesy of Hyperfine Research, Inc.)
Hyperfine Research, Inc. (Guilford, CT, USA) has received 510(k) clearance from the US FDA for its deep-learning image analysis software that measure brain structure and pathology in images acquired by the Swoop Portable MR Imaging System.

Magnetic Resonance Imaging (MRI) uses a magnetic field, radio waves, and a computer to produce detailed pictures of the body's internal structures that are clearer, more detailed, and more likely in some instances to identify and accurately characterize disease than other imaging methods. However, fixed MRI systems can be inconvenient and inaccessible for providers and patients, particularly when time is critical. Transport to the MR suite demands complicated scheduling coordination, moving patients, and, often, 4- to 6-hour patient backlogs — all of which compromise the utility of MRI as a diagnostic tool in time-sensitive settings, such as intensive care units and emergency rooms. Furthermore, high capital investments, electrical power needs, and significant maintenance requirements present barriers to adoption across all populations, acutely so for developing countries and rural geographies.

Hyperfine’s Swoop Portable MR Imaging System is designed to address the limitations of current imaging technologies and make MRI accessible anytime, anywhere, to any patient. Swoop wheels directly to the patient’s bedside, plugs into a standard electrical wall outlet, and is controlled by an Apple iPad. Designed as a complementary system to traditional MRIs at a fraction of the cost, images that display the internal structure of the head are captured by Swoop at the patient’s bedside, with results in minutes. Included as part of Swoop’s standard software package, Advanced AI Applications work with Swoop to transform the system into a true bedside clinical decision support platform for evaluating brain health and injury. In just minutes after Swoop scanning, Advanced AI Applications analyze and return annotated and segmented brain images, providing clinicians of all levels of expertise with quantitative markers for decision support and immediate feedback for diagnostic insight.

“With this powerful tool now built into the Swoop system, we are making MR imaging not only accessible at the bedside but making it easier for providers to move quickly from scan to a recommended course of treatment,” said Dr. Khan Siddiqui, Chief Medical Officer of Hyperfine. “The data provided by Hyperfine's deep learning software will liberate users of our MR technology by providing simple, accessible information in just minutes.”

Related Links:
Hyperfine Research, Inc.

New
Gold Member
X-Ray QA Meter
T3 AD Pro
New
Ultra-Flat DR Detector
meX+1717SCC
Radiation Therapy Treatment Software Application
Elekta ONE
New
Portable Color Doppler Ultrasound System
S5000

Print article
Radcal

Channels

Radiography

view channel
Image: The new X-ray detector produces a high-quality radiograph (Photo courtesy of ACS Central Science 2024, DOI: https://doi.org/10.1021/acscentsci.4c01296)

Highly Sensitive, Foldable Detector to Make X-Rays Safer

X-rays are widely used in diagnostic testing and industrial monitoring, from dental checkups to airport luggage scans. However, these high-energy rays emit ionizing radiation, which can pose risks after... Read more

MRI

view channel
Image: Artificial intelligence models can be trained to distinguish brain tumors from healthy tissue (Photo courtesy of 123RF)

AI Can Distinguish Brain Tumors from Healthy Tissue

Researchers have made significant advancements in artificial intelligence (AI) for medical applications. AI holds particular promise in radiology, where delays in processing medical images can often postpone... Read more

Nuclear Medicine

view channel
Image: Example of AI analysis of PET/CT images (Photo courtesy of Academic Radiology; DOI: 10.1016/j.acra.2024.08.043)

AI Analysis of PET/CT Images Predicts Side Effects of Immunotherapy in Lung Cancer

Immunotherapy has significantly advanced the treatment of primary lung cancer, but it can sometimes lead to a severe side effect known as interstitial lung disease. This condition is characterized by lung... Read more

General/Advanced Imaging

view channel
Image: Cleerly offers an AI-enabled CCTA solution for personalized, precise and measurable assessment of plaque, stenosis and ischemia (Photo courtesy of Cleerly)

AI-Enabled Plaque Assessments Help Cardiologists Identify High-Risk CAD Patients

Groundbreaking research has shown that a non-invasive, artificial intelligence (AI)-based analysis of cardiac computed tomography (CT) can predict severe heart-related events in patients exhibiting symptoms... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.