MD-reviewed ·  Healthcare editorial
MedAI Verdict
Radiology

Reference AS-159  ·  AI Radiology

Hyperfine Swoop

by Hyperfine  ·  US

Portable MRI device with AI image enhancement.

At a glance

Pricing
Capital equipment + service.
HIPAA
Not disclosed
SOC 2
Not disclosed
EHRs
Founded
HQ
US

Bottom line

Portable MRI device with AI image enhancement.

Free tier available.

Overview

Portable MRI for ICU/bedside. AI image-enhancement layer required.

Pricing

What it costs

Free tier only; no paid plans publicly disclosed.

TierMonthlyAnnualNotes
PlanCapital equipment + service.

Source: vendor pricing page. Verified May 23, 2026.

Peer-reviewed coverage

What the literature says

4 peer-reviewed studies indexed on PubMed evaluate Hyperfine Swoop in clinical contexts. The most relevant are shown below, ranked by editorial relevance score combining title match, study design, recency, and journal tier.

Super resolution using sparse sampling at portable ultra-low field MR.
Donnay C, Okar SV, Tsagkas C, et al.· Front Neurol· 2024
Ultra-low field (ULF) magnetic resonance imaging (MRI) holds the potential to make MRI more accessible, given its cost-effectiveness, reduced power requirements, and portability. However, signal-to-noise ratio (SNR) drops with field strength, necessitating imaging with lower resolution and longer scan times. This study introduces a novel Fourier-based Super Resolution (FouSR) approach, designed to enhance the resolution of ULF MRI images with minimal increase in total scan time. FouSR combines spatial frequencies from two orthogonal ULF images of anisotropic resolution to create an isotropic…
Tips and challenges for clinical use and interpretation of low field portable MRI in neuroimaging.
Chen YA, Mathur S, Lin A, et al.· Emerg Radiol· 2025
Low field portable MRI (LF pMRI) is a new imaging tool that holds promise in offering a safe, cost-effective, point-of-care imaging solution in neuroimaging. There are however unique interpretive challenges and operational factors and limitations in its implementation in clinical practice. This paper aims to provide a comprehensive guide on the tips and tricks of interpreting LF pMRI, specifically the Hyperfine Swoop® MRI system, which operates at 0.064 T and is currently the only FDA and Health Canada approved LF pMRI system. This paper explores the operational aspects and interpre…
Case-based review of low-field MRI in resource-constrained settings: a clinical perspective from Malawi.
Chetcuti K, Chilungulo C· BJR Open· 2025
Low-field MRI (LF-MRI) is in the spotlight as multidisciplinary experts consider it to be one solution to expanding MRI access worldwide. The clinical scenarios and case-mix in which LF-MRI could play an especially important role in the patient diagnostic algorithm are different in High and Low- and Middle-Income Countries (LMIC). The aim of this article is to suggest a robust structure within which to envision clinical use and advancement of LF-MRI technology in LMICs. This article presents three discrete clinical scenarios-a tertiary care facility with an LF-MRI only, a tertiary care facili…
Brain-age in ultra-low-field MRI: how well does it work?
Biondo F, Bennallick C, Martin SA, et al.· medRxiv· 2025
Brain-age is an estimate of the brain's biological age derived from neuroimaging data, and has been proposed as a biomarker of brain health and disease risk. While brain-age estimation commonly uses high-field (HF) magnetic resonance imaging (MRI) (1.5 T) this is costly and inaccessible, limiting its applicability. Emerging ultra-low-field (ULF) MRI (0.1 T) technology is a cheaper and more accessible alternative, but its lower resolution raises questions about whether biomarkers like brain-age can be estimated reliably. We assessed different brain-age pipelines in 23 adults scanned on one HF…

See all on PubMed