510(k) · Cleared
ClearedNeuro.Al Algorithm
Data to Oct 25, 2026 (FDA decisions) Oct 12, 2026 (recalls) Sep 30, 2026 (MAUDE) refreshed weekly
Terarecon,Inc. · LLZ System, Image Processing, Radiological
Cleared on Nov 6, 2020 as substantially equivalent to K131447 (Terarecon,Inc., 2013) after a 228-day review. Its family tree reaches back 11 generations to 1997. 2 of the 81 devices in its family, counting itself, have a Class I recall. 1 later device descends from it.
- Decided
- Nov 6, 2020
- Review
- 228 days
- Class
- Class II
- Product code
- LLZ
- Recalls
- None
- Predicates
- 1
Its longest line of descent runs back 11 generations to K971684 (1997). 79 ancestors in all, the oldest K913770 (1991). 1 later device descends from it, 1 citing it directly. 2 of the 81 devices in this family, counting this one, have a Class I recall.
- Root · 11 generations backK971684 Magnetom Project 047 System (Numaris 3.5 Software)Siemens Medical Solutions USA, Inc. · 1997 · Recalled
- 7 generations between
- 3 generations backK111242 Magnetom Aera and Magnetom SkyraSiemens Medical Solutions USA, Inc. · 2011 · Recalled
- 2 generations backK121459 Syngo.MR NeurologySiemens Medical Solutions USA, Inc. · 2012
- 1 generation backK131447 Intuition - Tda, Tva, Parametric MappingTerarecon,Inc. · 2013
- This deviceK200750 Neuro.Al AlgorithmTerarecon,Inc. · 2020
- Descendant · cites it directly · 0 of its ownK220349 TeraRecon NeuroTerarecon,Inc. · 2022
Show all 11 generations
- Root · 11 generations backK971684 Magnetom Project 047 System (Numaris 3.5 Software)Siemens Medical Solutions USA, Inc. · 1997 · Recalled
- 10 generations backK032428 Magnetom Avanto MR SystemSiemens Medical Solutions USA, Inc. · 2003 · Recalled
- 9 generations backK041112 Magnetom Espree SystemSiemens Medical Solutions USA, Inc. · 2004 · Recalled
- 8 generations backK052164 Magnetom Systems with Software Syngo MR 2006ASiemens Medical Solutions USA, Inc. · 2005
- 7 generations backK062454 Magnetom Systems - I-Class and T-Class ReleasesSiemens Medi Cal Solutions, Inc. · 2006
- 6 generations backK072237 Magnetom VerioSiemens Medical Solutions USA, Inc. · 2007 · Recalled (Class I)
- 5 generations backK082427 Syngo MR B17Siemens Medical Solutions USA, Inc. · 2008
- 4 generations backK101347 Magnetom Aera; Magnetom SkyraSiemens Medical Solutions USA, Inc. · 2010 · Recalled (Class I)
- 3 generations backK111242 Magnetom Aera and Magnetom SkyraSiemens Medical Solutions USA, Inc. · 2011 · Recalled
- 2 generations backK121459 Syngo.MR NeurologySiemens Medical Solutions USA, Inc. · 2012
- 1 generation backK131447 Intuition - Tda, Tva, Parametric MappingTerarecon,Inc. · 2013
- This deviceK200750 Neuro.Al AlgorithmTerarecon,Inc. · 2020
Class I recalls in this family
Most influential descendants
Showing 1 of 1 · See all- K220349TeraRecon NeuroTerarecon,Inc. · 2022 · cites it directly0descendants
View FIG. 1 as a table
Line of descent and top descendants
| Generation | Number | Device | Applicant | Decided | Recalls |
|---|---|---|---|---|---|
| −11 | K971684 | Magnetom Project 047 System (Numaris 3.5 Software) | Siemens Medical Solutions USA, Inc. | 1997 | 4 |
| −10 | K032428 | Magnetom Avanto MR System | Siemens Medical Solutions USA, Inc. | 2003 | 4 |
| −9 | K041112 | Magnetom Espree System | Siemens Medical Solutions USA, Inc. | 2004 | 4 |
| −8 | K052164 | Magnetom Systems with Software Syngo MR 2006A | Siemens Medical Solutions USA, Inc. | 2005 | — |
| −7 | K062454 | Magnetom Systems - I-Class and T-Class Releases | Siemens Medi Cal Solutions, Inc. | 2006 | — |
| −6 | K072237 | Magnetom Verio | Siemens Medical Solutions USA, Inc. | 2007 | Class I |
| −5 | K082427 | Syngo MR B17 | Siemens Medical Solutions USA, Inc. | 2008 | — |
| −4 | K101347 | Magnetom Aera; Magnetom Skyra | Siemens Medical Solutions USA, Inc. | 2010 | Class I |
| −3 | K111242 | Magnetom Aera and Magnetom Skyra | Siemens Medical Solutions USA, Inc. | 2011 | 3 |
| −2 | K121459 | Syngo.MR Neurology | Siemens Medical Solutions USA, Inc. | 2012 | — |
| −1 | K131447 | Intuition - Tda, Tva, Parametric Mapping | Terarecon,Inc. | 2013 | — |
| 0 (this device) | K200750 | Neuro.Al Algorithm | Terarecon,Inc. | 2020 | — |
| +1 | K220349 | TeraRecon Neuro | Terarecon,Inc. | 2022 | — |
Other ancestors by year cleared
| Year cleared | Devices | With a Class I recall |
|---|---|---|
| 1991 | 1 | 0 |
| 1994 | 2 | 0 |
| 1995 | 2 | 0 |
| 1996 | 3 | 0 |
| 1997 | 4 | 0 |
| 1998 | 2 | 0 |
| 1999 | 3 | 0 |
| 2000 | 5 | 0 |
| 2001 | 12 | 0 |
| 2002 | 3 | 0 |
| 2003 | 4 | 0 |
| 2004 | 6 | 0 |
| 2005 | 4 | 0 |
| 2006 | 5 | 0 |
| 2007 | 3 | 0 |
| 2008 | 4 | 0 |
| 2009 | 2 | 0 |
| 2010 | 1 | 0 |
| 2011 | 2 | 0 |
Descendants by year cleared
| Year cleared | Devices | With a Class I recall |
|---|---|---|
| 2022 | 1 | 0 |
Sources: FDA 510(k) database (decision fields), the FDA summary (predicates and indications), FDA recall and enforcement reports, and MAUDE; processed by 510(k) Report. Verify on FDA.gov · Methodology and accuracy.
2 devices in this family have a Class I recall. A 510(k) Report weighs predicate choices, recall history and review times for a new device like this one.
Top candidate predicates for a new LLZ device
- #1 K230955 syngo Application Softwarescore 21.5 · 11 generations · no Class I recall
- #2 Held for the reportin the report
- #3 Held for the reportin the report
What was it cleared against? (1)
Devices the submitter claimed this one is substantially equivalent to (*), and reference devices cited for a specific test or feature (†), as written in the FDA summary.
| Type | Number | Device | Decided |
|---|---|---|---|
| * | K131447 | Intuition - Tda, Tva, Parametric MappingSummary page 4…LLZ – System, Image Processing, Radiological 3. PREDICATE DEVICE Predicate Device iNtuition-TDA, TVA and Parametric Mapping (K131447) Reference Device iNtuition system (K121916) 4. DEVICE DESCRIPTION The Neuro.AI Algorithm is a modifi… | 2013 |
| † | K121916 | Intuition | 2013 |
What descends from it? (1)
1 later device cites it directly; ranked here by how many devices descend from each in turn.
| Number | Device | Decided | Descendants |
|---|---|---|---|
| K220349 | TeraRecon Neuro | 2022 | 0 |
Has anything in its family been recalled? (2 Class I)
No FDA recall names this device.
Relatives with a Class I recall
Class I is FDA’s most serious recall class. A recall in the family tree is context for this device, not evidence about it.
What does this lineage say?
- The line of descent spans 23 years and passes through 3 companies; a new generation was cleared every 1.1 years on median.
- 23 of the 79 ancestors have a recall of any class; 2 have a Class I recall.
- Of its descendants, K220349 (Terarecon,Inc., 2022) has gone furthest, with 0 descendants of its own.
How does its category compare?
All LLZ devicesLLZ System, Image Processing, Radiological: FDA decisions, review times, recalls and adverse event reports over 20 years. 2020, this device’s year, is highlighted.
FDA decisions per year · LLZ
58in 2025
2026 to Oct 25, outlined.
Median 510(k) review, days · LLZ
173in 2025
Receipt to decision; years with fewer than 3 clearances left blank.
Recalls per year · LLZ
11in 2025
Class I (0 since 2007) Class II/III not classified
Adverse event reports per year · LLZ
116in 2025
MAUDE reports naming product code LLZ, not matched to any one device; reports are not rates.
View these four charts as a table
| Year | Decisions | Median 510(k) review, days | Recalls (Class I) | MAUDE reports |
|---|---|---|---|---|
| 2007 | 76 | 36 | 20 | 152 |
| 2008 | 94 | 52 | 32 | 154 |
| 2009 | 70 | 62 | 21 | 145 |
| 2010 | 51 | 98 | 17 | 145 |
| 2011 | 106 | 79 | 30 | 454 |
| 2012 | 82 | 87 | 12 | 266 |
| 2013 | 95 | 84 | 64 | 1,130 |
| 2014 | 78 | 89 | 6 | 15,631 |
| 2015 | 64 | 90 | 16 | 211 |
| 2016 | 82 | 90 | 12 | 290 |
| 2017 | 78 | 107 | 5 | 104 |
| 2018 | 104 | 105 | 7 | 72 |
| 2019 | 74 | 107 | 2 | 88 |
| 2020 | 81 | 115 | 6 | 82 |
| 2021 | 83 | 116 | 3 | 70 |
| 2022 | 65 | 137 | 4 | 28 |
| 2023 | 87 | 157 | 8 | 26 |
| 2024 | 62 | 131 | 6 | 42 |
| 2025 | 58 | 173 | 11 | 116 |
| 2026 | 45 | 110 | 14 | — |
What is it indicated for?
The Neuro.Al Algorithm is an algorithm for use by trained professionals, including but not limited to physicians, surgeons and medical clinicians. The Neuro.Al Algorithm is a standalone image processing software device that can be deployed as a Microsoft Windows® executable on off-the-shelf hardware or as a containerized application (e.g., a Docker container) that runs on off-the-shelf hardware or on a cloud platform. Data and images are acquired via…
Read the full statement (266 words)
The Neuro.Al Algorithm is an algorithm for use by trained professionals, including but not limited to physicians, surgeons and medical clinicians.
The Neuro.Al Algorithm is a standalone image processing software device that can be deployed as a Microsoft Windows® executable on off-the-shelf hardware or as a containerized application (e.g., a Docker container) that runs on off-the-shelf hardware or on a cloud platform. Data and images are acquired via DICOM compliant imaging devices. DICOM results may be exported, combined with or utilized by other DICOM-compliant systems and results.
The Neuro.Al algorithm provides analysis capabilities for static, functional, dynamic and derived imaging datasets acquired with CT or MRI. It can be used for the analysis of dynamic brain perfusion image data, showing properties of changes in contrast over time. This functionality includes calculation of parameters related to brain tissue perfusion, vascular assessment and tissue blood volume and other parametric maps with or without the ventricles included in the calculation. The algorithm also includes volume reformat in various orientations, rotational MIP 3D batch while removing the skull. This “tumble view” allows qualitative review of vascular structure in direct correlation to the perfusion maps for comprehensive review.
The results of the Neuro.Al Algorithm can be delivered to the end-user through image viewers such as TeraRecon’s Aquarius iNtuition system, TeraRecon’s Northstar Al Results Explorer, or other image viewing systems like PACS that can support DICOM results generated by Neuro. Al
The Neuro.Al Algorithm results are designed for use by trained healthcare professionals and are intended to assist the physician in diagnosis, who is responsible for making all final patient management decisions.
Indications for use read by OCR from a scanned FDA summary, so letters may be misread. Check the PDF before quoting it.
https://510kreport.com/device/K200750 · printed Nov 6, 2026
Cite this page
510(k) Report. “K200750: Neuro.Al Algorithm.” Lineage record from FDA 510(k) data and the FDA summary. Updated Nov 3, 2026. Accessed Nov 6, 2026. https://510kreport.com/device/K200750
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Record history
- FDA decision record loaded May 2, 2026
- Summary read Oct 13, 2026 (extraction version 9eaa42aa01ed)
- Lineage and recalls computed Nov 3, 2026
- Page last updated Nov 3, 2026