K251937 · Nordicneurolab AS · LNH · Mar 20, 2026 · Radiology
Device Facts
Record ID
K251937
Device Name
nordicAudio (1.0)
Applicant
Nordicneurolab AS
Product Code
LNH · Radiology
Decision Date
Mar 20, 2026
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.1000
Device Class
Class 2
Attributes
Pediatric
Indications for Use
The nordicAudio allows auditory signals from a source in the control room to enter the Magnet room and to be presented to the subject. The system consists of headphones connected through an access point. From this unit the system is connected to an audio hub unit in the control room, through a fiber cable. Standard audio sources can be connected to the audio hub and by this bring the audio to the subject. The device is used to present audio to a subject during an MRI examination. It also facilitates communication between the operator and subject during the examination. The nordicAudio is intended to be used by trained professionals within the MRI environment.
Device Story
MR-conditional audio system; transmits auditory signals from control room to MRI magnet room. Components: MR-compatible headset with optical data transmission, battery unit, and audio hub for interfacing with standard audio sources. Fiber optic cable connects hub to headset access point. Used in functional, clinical, or interventional MRI environments; operated by trained professionals (radiographers/technologists). Headset fits within standard OEM head coils; provides acoustic noise attenuation. Facilitates communication between operator and subject; presents auditory stimuli for functional MRI tasks. Benefits: enables patient-operator interaction and stimulus delivery in high-field MRI environments.
Clinical Evidence
No clinical data. Substantial equivalence supported by bench testing, including performance, electrical, mechanical, and structural testing, as well as electrical safety and electromagnetic compatibility testing.
Technological Characteristics
MR-conditional audio system; MEMS-based transducer technology; optical data transmission via fiber optic cable; battery-powered headset; audio hub interface for standard audio sources; designed for integration with standard MRI head coils.
Indications for Use
Indicated for subjects undergoing functional, clinical, or interventional MRI scans; includes children above age 4. Used for presenting auditory stimuli and facilitating communication between operator and subject during MRI examinations.
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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FDA U.S. FOOD & DRUG ADMINISTRATION
March 20, 2026
NordicNeuroLab AS
Chandana Gurung Bhandari
VP Quality
Møllendaslveien 1
Bergen, 5009
Norway
Re: K251937
Trade/Device Name: nordicAudio (1.0)
Regulation Number: 21 CFR 892.1000
Regulation Name: Magnetic Resonance Diagnostic Device
Regulatory Class: Class II
Product Code: LNH,
Dated: February 13, 2026
Received: February 17, 2026
Dear Chandana Gurung Bhandari:
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 (the 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 available 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.
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
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K251937 - Chandana Gurung Bhandari
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Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality Management System Regulation (QMSR) (21 CFR Part 820), which includes, but is not limited to, ISO 13485 clause 7.3 (Design controls), ISO 13484 clause 8.3 (Nonconforming product), and ISO 13485 clause 8.5 (Corrective and preventative action). Please note that regardless of whether a change requires premarket review, the QMSR requires device manufacturers to review and approve changes to device design and production (ISO 13485 clause 7.3 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
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 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reporting-combination-products); good manufacturing practice requirements as set forth in the Quality Management System Regulation (QMSR) (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 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-devices/medical-device-safety/medical-device-reporting-mdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medical-devices/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-devices/device-advice-comprehensive-regulatory-
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K251937 - Chandana Gurung Bhandari
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assistance/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,

Daniel M. Krainak, Ph.D.
Assistant Director
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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nordicAudio
Page 9 of 57
| Indications for Use | | |
| --- | --- | --- |
| Please type in the marketing application/submission number, if it is known. This textbox will be left blank for original applications/submissions. | K251937 | ? |
| Please provide the device trade name(s). | | ? |
| nordicAudio (1.0) | | |
| Please provide your Indications for Use below. | | ? |
| Intended use
The nordicAudio allows auditory signals from a source in the control room to enter the Magnet room and to be presented to the subject. The system consists of headphones connected through an access point. From this unit the system is connected to an audio hub unit in the control room, through a fiber cable. Standard audio sources can be connected to the audio hub and by this bring the audio to the subject.
Indications for use
The device is used to present audio to a subject during an MRI examination. It also facilitates communication between the operator and subject during the examination. The nordicAudio is intended to be used by trained professionals within the MRI environment.
Population
nordicAudio is intended to be used by subjects and operated by trained professionals such as radiographers or technologist performing functional, clinical or interventional MRI scans. The Headset is designed for children above the age of 4 years.
Environments for use
The nordicAudio is intended to be used in functional, clinical or interventional MRI environment. | | |
| Please select the types of uses (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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| 510(k) #: K251937 | 510(k) Summary | Prepared on: 2026-02-18 |
| --- | --- | --- |
| Contact Details | | 21 CFR 807.92(a)(1) |
| Applicant Name | NordicNeuroLab AS | |
| Applicant Address | Møllendaslveien 1 Bergen 5009 Norway | |
| Applicant Contact Telephone | +4755707095 | |
| Applicant Contact | Mrs. Chandana Gurung Bhandari | |
| Applicant Contact Email | chandana@nordicneurolab.com | |
| Device Name | | 21 CFR 807.92(a)(2) |
| Device Trade Name | nordicAudio (1.0) | |
| Common Name | Magnetic resonance diagnostic device | |
| Classification Name | System, Nuclear Magnetic Resonance Imaging | |
| Regulation Number | 892.1000 | |
| Product Code(s) | LNH | |
| Legally Marketed Predicate Devices | | 21 CFR 807.92(a)(3) |
| Predicate # | Predicate Trade Name (Primary Predicate is listed first) | Product Code |
| K232680 | fMRI Hardware System (AudioSystem) | LNH |
| Device Description Summary | | 21 CFR 807.92(a)(4) |
| nordicAudio is an MR conditional audio System used to reduce acoustic noise, present auditory stimuli and enable subject operator communication during MR imaging.
nordicAudio consisting of an MR compatible headset with optical data transmission, Battery unit for powering the headphones, Audio Hub for interfacing between commercial audio and optical transmission to headset.
The device shall be designed to fit into commonly used head coils from the main OEMs and provide noise attenuation during common MRI sequences. | | |
| Intended Use/Indications for Use | | 21 CFR 807.92(a)(5) |
| Intended use
The nordicAudio allows auditory signals from a source in the control room to enter the Magnet room and to be presented to the subject. The system consists of headphones connected through an access point. From this unit the system is connected to an audio hub unit in the control room, through a fiber cable. Standard audio sources can be connected to the audio hub and by this bring the audio to the subject.
Indications for use
The device is used to present audio to a subject during an MRI examination. It also facilitates communication between the operator and subject during the examination. The nordicAudio is intended to be used by trained professionals within the MRI environment. | | |
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Population
nordicAudio is intended to be used by subjects and operated by trained professionals such as radiographers or technologist performing functional, clinical or interventional MRI scans. The Headset is designed for children above the age of 4 years.
Environments for use
The nordicAudio is intended to be used in functional, clinical or interventional MRI environment.
## Indications for Use Comparison
21 CFR 807.92(a)(5)
The primary medical purpose conveyed in the intended use for both the predicate and the subject device is the same.
Although the wording of the intended use statements is slightly different from the predicate device, the primary intention is the same.
nordicAudio has the same functional characteristics i.e. auditory signals from the audio sources to enter the scanner room and to be presented to the patient.
We identified no difference in the intended use statements that impacts the safety and effectiveness of the subjective device.
## Technological Comparison
21 CFR 807.92(a)(6)
nordicAudio has the same functional characteristics i.e. auditory signals from the audio sources to enter the scanner room and to be presented to the patient.
The subject device differs from the predicate device in its technological characteristics where the AudioSystem(Predicate device) is based on Electrostatic technology while the nordicAudio is based on MEMS ( Micro electro mechanical systems) technology.
The differences do not raise additional questions about the safety or effectiveness of the subject device.
## Non-Clinical and/or Clinical Tests Summary & Conclusions
21 CFR 807.92(b)
No clinical testing was required to demonstrate substantial equivalence.
nordicAudio underwent performance testing as well as electrical, mechanical, structural testing. In addition electrical safety and electromagnetic compatibility testing has been conducted. All testing of the nordicAudio support the determination of substantial equivalence.
Conclusion:
The nordicAudio has the similar intended use and similar basic technological characteristics as AudioSystem (K232680, fMRI Hardware system, predicate device). While there are some differences in technological characteristics between the proposed and predicate device, the differences were tested and verification and validation data suggest that the features bear an equivalent safety and performance profile to that of the predicate device.
NordicNeuroLab AS has concluded that the nordicAudio is substantially equivalent to the currently marketed predicate device AudioSystem ( fMRI Hardware system).
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.