Swoop® Portable MR Imaging System
K230208Hyperfine, Inc. · cleared 2023-02-22 · product code LNH · Radiology
Premarket evidence — what FDA accepted
source quote (p.5)
“The Swoop system is a portable MRI device that allows for patient bedside imaging. System image reconstruction algorithm utilizes deep learning to provide improved image quality for T1W, T2W, and FLAIR sequences, specifically in terms of reductions in image noise and blurring.”
source quote (p.5)
“System image reconstruction algorithm utilizes deep learning to provide improved image quality for T1W, T2W, and FLAIR sequences, specifically in terms of reductions in image noise and blurring.”
source quote (p.8)
“Testing to verify cybersecurity controls and management.”
Validation studies (7)
Bench
sample size not stated
endpoints: Software requirements were met
standards: IEC 62304:2006, FDA Guidance, "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices"
Bench
sample size not stated
endpoints: Image quality criteria were met
standards: NEMA MS 1-2008 (R2020), NEMA MS 3-2008 (R2020), NEMA MS 9-2008 (R2020), NEMA MS 12-2016, American College of Radiology (ACR) Phantom Test Guidance for Use of the Large MRI Phantom for the ACR MRI Accreditation Program, American College of Radiology standards for named sequences
Bench
sample size not stated
endpoints: Device meets user needs and performs as intended
standards: FDA Guidance, "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices"
Bench
sample size not stated
standards: ISO 10993-1:2018, ISO 10993-5:2009, ISO 10993-10:2010
Bench
sample size not stated
standards: FDA Guidance, "Reprocessing Medical Devices in Health Care Settings: Validation Methods and Labeling", ISO 17664:2017, ASTM F3208-17
Bench
sample size not stated
standards: ANSI/AAMI ES 60601-1:2005/(R)2012, IEC 60601-1-2:2014, IEC 60601-1-6:2013
Bench
sample size not stated
standards: NEMA MS 8-2016
Reported performance (0 observations)
FDA source did not state a quantitative performance metric — non-reporting is itself the signal.
Each value carries its own analysis unit and task — never compare or pool across devices. Source: 510(k) summary PDF.
Predicate network
Postmarket — what happened after clearance
- re_clearance
The FDA AI/ML device list shows a newer 510(k) K253489 (decision 2025-12-12) from Hyperfine, Inc. for a matching device line ("Swoop® Portable MR Imaging® System") — a new clearance for the same line is a change event.
first seen 2026-07-08 · k_number:K253489
- re_clearance
The FDA AI/ML device list shows a newer 510(k) K250236 (decision 2025-05-30) from Hyperfine, Inc. for a matching device line ("Swoop® Portable MR Imaging® System (V2)") — a new clearance for the same line is a change event.
first seen 2026-07-08 · k_number:K250236
- re_clearance
The FDA AI/ML device list shows a newer 510(k) K251276 (decision 2025-05-21) from Hyperfine, Inc. for a matching device line ("Swoop® Portable MR Imaging® System") — a new clearance for the same line is a change event.
first seen 2026-07-08 · k_number:K251276
- re_clearance
The FDA AI/ML device list shows a newer 510(k) K240944 (decision 2024-07-16) from Hyperfine, Inc. for a matching device line ("Swoop® Portable MR Imaging® System") — a new clearance for the same line is a change event.
first seen 2026-07-08 · k_number:K240944
- re_clearance
The FDA AI/ML device list shows a newer 510(k) K232760 (decision 2023-10-06) from Hyperfine, Inc. for a matching device line ("Swoop® Portable MR Imaging System®") — a new clearance for the same line is a change event.
first seen 2026-07-08 · k_number:K232760
- recall_reason_pattern
Software/algorithm-related recall in product code LNH (Philips North America, initiated 2026-04-14): "The potential for stiffness value errors when a specific range of image reconstruction parameters is used in combination with Resoundant's algorithm, leading to the reconstruction " Recalling firm is another firm in the same product code.
first seen 2026-07-08 · recall res_event_number:98779
- …and 1 more.
Recall and MAUDE counts are product-code-level (reports aren't reliably attributable to one device). Signals are descriptive observables with sources — never a judgment that the device is unsafe or drifting. Snapshot 2026-07-08.
Reimbursement — how devices like this got paid
Not yet tracked — no payment pathway indexed for this clearance (the reimbursement corpus is a growing seed set).