K223247 · Hyperfine, Inc. · LNH · Dec 6, 2022 · Radiology
Device Facts
Record ID
K223247
Device Name
Swoop Portable MR Imaging System
Applicant
Hyperfine, Inc.
Product Code
LNH · Radiology
Decision Date
Dec 6, 2022
Decision
SESE
Submission Type
Special
Regulation
21 CFR 892.1000
Device Class
Class 2
Attributes
AI/ML, Pediatric
AI Performance
Output
Algorithm
Acceptance
Observed
Dev DS
Dev Readers
Test DS
Test Readers
MRI Image Quality (Noise and Blurring Reduction)
Deep learning-based image reconstruction models
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Indications for Use
The Swoop® Portable MR Imaging System™ is a bedside magnetic resonance imaging device for producing images that display the internal structure of the head where full diagnostic examination is not clinically practical. When interpreted by a trained physician, these images provide information that can be useful in determining a diagnosis.
Device Story
Portable bedside MRI system; produces head images for diagnostic support when standard MRI is impractical. Operates via 63.3 mT permanent magnet; utilizes form-fitting head coil. User interface (tablet) manages exam setup, execution, and image viewing. Reconstruction pipeline uses deep learning models to reduce noise and blurring in T1W, T2W, and FLAIR sequences. Used in professional healthcare facilities (ER, ICU, rehab) by trained clinicians. Output aids physician diagnosis. Modifications include updated pulse sequences, retrained reconstruction models, and service features.
Clinical Evidence
Bench testing only. Performance verified via NEMA MS standards (MS 1, 3, 9, 12) and ACR phantom guidance. Software verification and validation performed per IEC 62304 and FDA guidance. Biocompatibility, cleaning/disinfection, electrical safety, EMC, and SAR characterization leveraged from predicate device data.
Technological Characteristics
Permanent magnet (63.3 mT); 835x630x652 mm dimensions; 320 kg. Form-fitting TX/RX head coil. Tablet-based interface. Connectivity includes cloud storage interactions. Software includes deep learning-based image reconstruction for noise/blur reduction. Complies with NEMA MS standards, IEC 60601-1, and ISO 10993 biocompatibility standards.
Indications for Use
Indicated for adult and pediatric patients (≥ 0 years) requiring bedside magnetic resonance imaging of the head where full diagnostic examination is not clinically practical.
Regulatory Classification
Identification
A magnetic resonance diagnostic device is intended for general diagnostic use to present images which reflect the spatial distribution and/or magnetic resonance spectra which reflect frequency and distribution of nuclei exhibiting nuclear magnetic resonance. Other physical parameters derived from the images and/or spectra may also be produced. The device includes hydrogen-1 (proton) imaging, sodium-23 imaging, hydrogen-1 spectroscopy, phosphorus-31 spectroscopy, and chemical shift imaging (preserving simultaneous frequency and spatial information).
Special Controls
*Classification.* Class II (special controls). A magnetic resonance imaging disposable kit intended for use with a magnetic resonance diagnostic device only is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 892.9.
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December 6, 2022
Hyperfine, Inc. % Christine Kupchick Sr. Regulatory Specialist 351 New Whitfield St. GUILFORD CT 06437
Re: K223247
Trade/Device Name: Swoop® Portable MR Imaging System™ Regulation Number: 21 CFR 892.1000 Regulation Name: Magnetic Resonance Diagnostic Device Regulatory Class: Class II Product Code: LNH, MOS Dated: November 9, 2022 Received: November 9, 2022
# Dear Christine Kupchick:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part
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801); medical device reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4. Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
D.G.K.
Daniel M. Krainak, Ph.D. Assistant Director Magnetic Resonance and Nuclear Medicine Team DHT8C: Division of Radiological Imaging and Radiation Therapy Devices OHT8: Office of Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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## DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration
# Indications for Use
510(k) Number (if known) K223247
## Device Name
Swoop® Portable MR Imaging SystemTM
#### Indications for Use (Describe)
The Swoop® Portable MR Imaging System™ is a bedside magnetic resonance imaging device for producing images that display the internal structure of the head where full diagnostic examination is not climically practical. When interpreted by a trained physician, these images provide information that can be useful in letermining a liagnosis.
Type of Use (Select one or both, as applicable)
> Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
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# K223247
Image /page/3/Picture/1 description: The image shows the word "HYPERFINE" in all caps. The letters are in a gradient of colors, starting with blue on the left and fading to orange on the right. The font is sans-serif and the letters are thick and rounded.
# 510(k) Summary Swoop® Portable MR Imaging System™ K223247
#### 510(K) Submitter
| Company Name: | Hyperfine, Inc. |
|------------------|--------------------------------------------|
| Company Address: | 351 New Whitfield St<br>Guilford, CT 06437 |
#### Contact
| Name: | Christine Kupchick |
|------------|------------------------|
| Telephone: | (203) 343-3404 |
| Email: | ckupchick@hyperfine.io |
Date Prepared: November 9, 2022
#### Device Identification
| Trade Name: | Swoop® Portable MR Imaging System™ |
|----------------------|---------------------------------------------------------------------|
| Common Name: | Magnetic Resonance Imaging |
| Regulation Number: | 21 CFR 892.1000 |
| Classification Name: | System, Nuclear Magnetic Resonance Imaging Coil, Magnetic Resonance |
| | Specialty |
| Product Code: | LNH; MOS |
| Regulatory Class: | Class II |
#### Predicate Device Information
The subject Swoop Portable MR Imaging System is substantially equivalent to the predicate Swoop System (K221923).
#### Device Description
The Swoop system is a portable MRI device that allows for patient bedside imaging. The system enables visualization of the internal structures of the head using standard magnetic resonance imaging contrasts. The main interface is a commercial off-the-shelf device that is used for operating the system, providing access to patient data, exam setup, exam execution, viewing MRI image data for quality control purposes, and cloud storage interactions. The system can generate MRI data sets with a broad range of contrasts. The Swoop system user interface includes touch screen menus, controls, indicators, and navigation icons that allow the operator to control the system and to view imagery. The Swoop
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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.
The subject Swoop System described in this submission includes software modifications related to the device pulse sequences; retrained advanced reconstruction models; service and support features; and adds an audible scanner startup tone.
#### Indications for Use
The Swoop Portable MR Imaging System is a bedside magnetic resonance imaging device for producing images that display the internal structure of the head where full diagnostic examination is not clinically practical. When interpreted by a trained physician, these images provide information that can be useful in determining a diagnosis.
#### Substantial Equivalence Discussion
The table below compares the subject device to the predicate.
| Specification | Subject Swoop Portable MR Imaging<br>System | Predicate Swoop Portable MR Imaging<br>System (K221923) |
|---------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------|
| Intended Use/ Indications for<br>Use: | The Swoop® Portable MR Imaging<br>System™ is a bedside magnetic<br>resonance imaging device for producing<br>images that display the internal<br>structure of the head where full<br>diagnostic examination is not clinically<br>practical. When interpreted by a trained<br>physician, these images provide<br>information that can be useful in<br>determining a diagnosis. | Same |
| Patient Population: | Adult and pediatric patients (≥ 0 years) | Same |
| Anatomical Sites: | Head | Same |
| Environment of Use: | At the point of care in professional<br>health care facilities such as emergency<br>rooms, critical care units, hospital, or<br>rehabilitation rooms. | Same |
| Energy Used and/or delivered: | Magnetic Resonance | Same |
| Magnet: | | |
| Physical Dimensions | 835 mm x 630 mm x 652 mm | Same |
| Bore Opening | 610 mm x 315 mm | Same |
| Weight | 320 kg | Same |
| Field Strength | 63.3 mT permanent magnet | Same |
| Gradient: | | |
| Strength | X: 24 mT/m, Y: 23 mT/m, Z: 39 mT/m | Same |
| Rise Time | X: 2.1 ms, Y: 2.0 ms, Z: 3.8 ms | Same |
| Slew Rate | X: 24 T/m/s, Y: 22 T/m/s, Z: 21 T/m/s | Same |
| Computer Display | Hyperfine-supplied tablet | Same |
| RF Coils: | | |
| Number of Coils | 1 head coil | Same |
| Coil Type | TX/RX | Same |
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| Specification | Subject Swoop Portable MR Imaging<br>System | Predicate Swoop Portable MR Imaging<br>System (K221923) |
|--------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------|
| Coil Geometry | Form-fitting | Same |
| Inner Dimensions (mm) | 205 mm x 240 mm | Same |
| Coil Design | Linear Volume | Same |
| Patient Weight Capacity | 1.6kg-200 kg | Same |
| Operation Temperature | 15-30 C | Same |
| Warm Up Time | <3 minutes | Same |
| Temperature Control | No | Same |
| Humidity Control | No | Same |
| Image Reconstruction Algorithm | | |
| T1W<br>- T1-Standard<br>- T1-Gray/White Contrast | Advanced Gridding | Same |
| T2W<br>- T2<br>- T2-Fast | Advanced Gridding | Same |
| FLAIR | Advanced Gridding | Same |
| DWI | Conjugate Gradient | Same |
| Image Post-Processing | Advanced Denoising (applies to T1W, T2W, and FLAIR only) Image orientation transform Geometric distortion correction Receive coil intensity correction DICOM output | Same |
The subject device and the predicate device have the same intended use, operating principles, and similar technological characteristics. The subject device differs from the predicate in the following:
- Pulse sequences
- Retrained advanced reconstruction models
- Service/support features
- Audible scanner startup tone
These differences do not raise new questions of safety and efficacy as compared to the predicate.
## Non-Clinical Performance
As part of demonstrating substantial equivalence to the predicate, a risk-based assessment was completed to identify the risks associated with the modifications. Based on the risk assessment, the following verification and validation testing was performed. The subject device passed all the testing in accordance with internal requirements and applicable standards to support substantial equivalence.
| Test | Test Description | Applicable Standard(s) |
|--------------------------|-----------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------|
| Software<br>Verification | Software verification testing in accordance with<br>the design requirements to ensure that the<br>software requirements were met. | - IEC 62304:2006<br>- FDA Guidance, "Guidance for the<br>Content of Premarket Submissions<br>for Software Contained in Medical<br>Devices" |
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| Image<br>Performance | Testing to verify the subject device meets all<br>image quality criteria. | - NEMA MS 1-2008 (R2020)<br>- NEMA MS 3-2008 (R2020)<br>- NEMA MS 9-2008 (R2020)<br>- NEMA MS 12-2016<br>- American College of Radiology (ACR)<br>Phantom Test Guidance for Use of<br>the Large MRI Phantom for the ACR<br>MRI Accreditation Program<br>- American College of Radiology<br>standards for named sequences |
|------------------------|-------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Software<br>Validation | Validation study to ensure the device meets user<br>needs and performs as intended. | - FDA Guidance, "Guidance for the<br>Content of Premarket Submissions<br>for Software Contained in Medical<br>Devices" |
The following testing was leveraged from the predicate device. Test results from the predicate were used to support the subject device because the conditions were identical or the subject device modifications did not introduce a new worst-case configuration or scenario for testing.
| Test | Test Description | Applicable Standard(s) |
|---------------------------|---------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------|
| Biocompatibility | Biocompatibility testing of patient-contacting<br>materials. | - ISO 10993-1:2018<br>- ISO 10993-5:2009<br>- ISO 10993-10:2010 |
| Cleaning/<br>Disinfection | Cleaning and disinfection validation of patient-<br>contacting materials. | - FDA Guidance, "Reprocessing<br>Medical Devices in Health Care<br>Settings: Validation Methods and<br>Labeling"<br>- ISO 17664:2017<br>- ASTM F3208-17 |
| Safety | Electrical Safety, EMC, and Essential<br>Performance testing. | - ANSI/AAMI ES 60601-<br>1:2005/(R)2012<br>- IEC 60601-1-2:2014<br>- IEC 60601-1-6:2013 |
| Performance | Characterization of the Specific Absorption Rate<br>for Magnetic Resonance Imaging Systems. | - NEMA MS 8-2016 |
| Cybersecurity | Testing to verify cybersecurity controls and<br>management. | - Cybersecurity as recommended in<br>FDA guidance, "Content of<br>Premarket Submissions for<br>Management of Cybersecurity in<br>Medical Devices" |
## Conclusion
Based on the indications for use, technological characteristics, performance results, and comparison to the predicate, the subject Swoop Portable MR Imaging System has been shown to be substantially equivalent to the predicate device identified in this submission and does not present any new issues of safety or effectiveness.
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.