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 |

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.
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.
Latest Industry News News
- GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
- Patient-Specific 3D-Printed Phantoms Transform CT Imaging
- Siemens and Sectra Collaborate on Enhancing Radiology Workflows
- Bracco Diagnostics and ColoWatch Partner to Expand Availability CRC Screening Tests Using Virtual Colonoscopy
- Mindray Partners with TeleRay to Streamline Ultrasound Delivery
- Philips and Medtronic Partner on Stroke Care
- Siemens and Medtronic Enter into Global Partnership for Advancing Spine Care Imaging Technologies
- RSNA 2024 Technical Exhibits to Showcase Latest Advances in Radiology
- Bracco Collaborates with Arrayus on Microbubble-Assisted Focused Ultrasound Therapy for Pancreatic Cancer
- Innovative Collaboration to Enhance Ischemic Stroke Detection and Elevate Standards in Diagnostic Imaging
- RSNA 2024 Registration Opens
- Microsoft collaborates with Leading Academic Medical Systems to Advance AI in Medical Imaging
- GE HealthCare Acquires Intelligent Ultrasound Group’s Clinical Artificial Intelligence Business
- Bayer and Rad AI Collaborate on Expanding Use of Cutting Edge AI Radiology Operational Solutions
- Polish Med-Tech Company BrainScan to Expand Extensively into Foreign Markets
- Hologic Acquires UK-Based Breast Surgical Guidance Company Endomagnetics Ltd.
Channels
Radiography
view channel
AI Detects Fatty Liver Disease from Chest X-Rays
Fatty liver disease, which results from excess fat accumulation in the liver, is believed to impact approximately one in four individuals globally. If not addressed in time, it can progress to severe conditions... Read more
AI Detects Hidden Heart Disease in Existing CT Chest Scans
Coronary artery calcium (CAC) is a major indicator of cardiovascular risk, but its assessment typically requires a specialized “gated” CT scan that synchronizes with the heartbeat. In contrast, most chest... Read moreMRI
view channel
New MRI Technique Reveals Hidden Heart Issues
Traditional exercise stress tests conducted within an MRI machine require patients to lie flat, a position that artificially improves heart function by increasing stroke volume due to gravity-driven blood... Read more
Shorter MRI Exam Effectively Detects Cancer in Dense Breasts
Women with extremely dense breasts face a higher risk of missed breast cancer diagnoses, as dense glandular and fibrous tissue can obscure tumors on mammograms. While breast MRI is recommended for supplemental... Read moreUltrasound
view channel
Wireless Chronic Pain Management Device to Reduce Need for Painkillers and Surgery
Chronic pain affects millions of people globally, often leading to long-term disability and dependence on opioid medications, which carry significant risks of side effects and addiction.... Read more
New Medical Ultrasound Imaging Technique Enables ICU Bedside Monitoring
Ultrasound computed tomography (USCT) presents a safer alternative to imaging techniques like X-ray computed tomography (commonly known as CT or “CAT” scans) because it does not produce ionizing radiation.... Read moreNuclear Medicine
view channel
Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections
Mycobacteroides abscessus is a rapidly growing mycobacteria that primarily affects immunocompromised patients and those with underlying lung diseases, such as cystic fibrosis or chronic obstructive pulmonary... Read more
New Imaging Approach Could Reduce Need for Biopsies to Monitor Prostate Cancer
Prostate cancer is the second leading cause of cancer-related death among men in the United States. However, the majority of older men diagnosed with prostate cancer have slow-growing, low-risk forms of... Read moreGeneral/Advanced Imaging
view channel
CT Colonography Beats Stool DNA Testing for Colon Cancer Screening
As colorectal cancer remains the second leading cause of cancer-related deaths worldwide, early detection through screening is vital to reduce advanced-stage treatments and associated costs.... Read more
First-Of-Its-Kind Wearable Device Offers Revolutionary Alternative to CT Scans
Currently, patients with conditions such as heart failure, pneumonia, or respiratory distress often require multiple imaging procedures that are intermittent, disruptive, and involve high levels of radiation.... Read more
AI-Based CT Scan Analysis Predicts Early-Stage Kidney Damage Due to Cancer Treatments
Radioligand therapy, a form of targeted nuclear medicine, has recently gained attention for its potential in treating specific types of tumors. However, one of the potential side effects of this therapy... Read moreImaging IT
view channel
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