NAEOTOM Alpha
K233657Siemens Medical Solutions USA, Inc. · cleared 2024-03-28 · product code JAK · Radiology
Premarket evidence — what FDA accepted
source quote (p.6)
“The subject device NAEOTOM Alpha with software version SOMARIS/10 syngo CT VB10 is a Computed Tomography X-ray system which features two continuously rotating tube-detector systems, denominated as A- and B-systems respectively (dual source CT scanner system). The detectors' function is based on photon-counting technology.”
source quote (p.8)
“Iterative Reconstruction – Support of various iterative reconstruction principles”
source quote (p.20)
“myExam Compass collects information about the current patient to dynamically adapt the scan parameters or exchange recon jobs according to the patient's characteristics”
source quote (p.31)
“Siemens conforms to the Cybersecurity requirements by implementing a process of preventing unauthorized access, modifications, misuse or denial of use, or the unauthorized use of information that is stored, accessed, or transferred from a medical device to an external recipient.”
Validation studies (7)
Bench
sample size not stated
endpoints: The bench test evaluates and compares the accuracy of the three sub-features FAST Isocentering, FAST Range, and FAST Direction to the accuracy of the predicate device with syngo CT VA50 using the old camera hardware and the then only available ceiling mount.; The objectives of the bench test are to demonstrate that the FAST 3D Camera feature of the subject device with SOMARIS/10 syngo CT VB10, where the algorithms have been optimized for a new camera hardware in two mounting positions, achieves comparable results as the predicate device with syngo CT VA50.; The FAST Isocentering accuracy of the subject device with syngo CT VB10 is comparable to the predicate device with syngo CT VA50, regardless of the camera mounting position.; For the FAST Range feature, the detection accuracy of all body region boundaries is comparable between the subject device with syngo CT VB10 and predicate device with syngo CT VA50.; The FAST Direction pose detection results are of comparable accuracy for subject and predicate device, regardless of the camera mounting position.; Overall, the SOMARIS/10 syngo CT VB10 delivers comparable accuracy to the SOMARIS/10 syngo CT VA50 predicate for the new FAST 3D Camera hardware.
Bench
sample size not stated
endpoints: This document describes a hardware test in which a CT system with extended distance between CT gantry and patient table base plus a mobile C-arm system were combined to evaluate the technical feasibility and possible limitations of this combination.; The range of possible movement for the mobile C-arm in different positions between CT gantry and patient table was tested and documented by measurement of angles.; Based on the test results it can be concluded that a CT scanner, equipped with a Multi-Purpose (Vitus) Patient Table, which is installed with enhanced distance (674 mm) to the CT gantry and offers the iCT mode functionality, provides sufficient freedom of movement for a mobile C-arm X-ray system to be used for clinical routine without any significant limitations for my needle Laser or 3D Camera.
Bench
sample size not stated
endpoints: that the number of artefacts which can be attributed to a stack misalignment (e.g. discontinuities in vessel structures, anatomical steps at air-soft-tissue interfaces, doubling of vessel or other anatomy) and which are often caused by incomplete patient breath-hold can be reduced in a "Cardiac Stack Artefact Correction" (SAC) reconstruction compared to the standard reconstruction with otherwise matching reconstruction parameters.; that no artefacts are introduced by a SAC reconstruction.; If misalignment artefacts are identified in non-corrected standard ECG-gated reconstructed sequence or spiral images, the feature "Cardiac Stack Artefact Correction" (SAC, marketing name: ZeeFree) enables optional stack artefact corrected images, which reduce the number of alignment artefacts.; The SAC reconstruction does not introduce new artefacts, which were previously not present in the non-corrected standard reconstruction.; The SAC reconstruction does realize equivalent image quality in quantitative standard physics phantom-based measurements (ACR, Gammex phantom) in terms of noise, homogeneity, high-contrast resolution, slice thickness and CNR compared to a non-corrected standard reconstruction.; The SAC reconstruction does realize equivalent image quality in quantitative and qualitative phantom-based measurements with respect to metal objects compared to a non-corrected standard reconstruction.; The SAC algorithm can be successfully applied to phantom data if derived from a suitable motion phantom demonstrating its correct technical function on the tested device.; The SAC algorithm is independent from the physical detector width of the acquired data
Bench
sample size not stated
endpoints: Tests were performed to ensure clinical usability of the myNeedle Guide needle detection algorithm. Two individual tests were performed. The accuracy of the automatic needle detection algorithm was tested. The reduction of necessary user interactions for navigating to a needle-oriented view with and without the support of the automatic needle detection algorithm was analyzed.; It has been shown that the algorithm was able to consistently detect needle-tips over a wide variety of scans in 90.76% of cases.; Further, the results of this bench test clearly shows that the auto needle detection functionality reduces the number of interactions steps needed to generate a needle-aligned view in the CT Intervention SW. Zero user interactions are required and a needle-aligned view is displayed right away after a new scan, if auto needle detection is switched on in the SW
Bench
sample size not stated
endpoints: T3D reconstructions in Quantumpeak mode are possible with the sharpest available kernels up to Qr89, Br98, etc.; Quantumpeak scan mode allows reconstructions of monoenergetic images at energy levels from 40 to 190 keV.; with T3D reconstructions from Quantumpeak scan modes, high resolution images with sharp kernel up to Br98 are obtained. The resolution is comparable to other Highresultra scan modes of the NAEOTOM Alpha.; Monoenergetic reconstructions from Quantumpeak scan modes are free of artifacts. Measured CT values precisely match the reference values.; The accuracy of monoenergetic reconstructions in iodine and calcium inserts at the NAEOTOM Alpha is comparable or better than on the secondary predicate device SOMATOM Force.
Bench
sample size not stated
endpoints: Quantitative assessment in terms of image noise and a visual assessment of the image quality in ECG gated acquisitions between different scan modes is performed: standard acquisition mode with spectral and non-spectral reconstruction, ultra-high resolution acquisition mode with non-spectral reconstruction (120x0.2 mm and 96x0.2 mm) and spectral image reconstruction (limited to 96x0.2 mm).; Based on the results it can be concluded that substantial equivalence in image quality is achieved by the images derived from the spectral capable cardiac acquisition mode 96x0.2mm for both, the high-resolution UHR and the standard resolution spectral image cases, compared to the single source spectral capable 120x0.2mm UHR scan mode.
Bench
sample size not stated
endpoints: Tests were performed to evaluate the performance of HD FoV on NAEOTOM Alpha.; For this purpose, the HU accuracy in the extended field of view region was measured based on phantom studies. The phantom diameter accuracy has been also evaluated.; Based on the results it can be concluded that HD FoV enables the reconstruction of images while significantly improving the visualization of anatomy in the regions outside the scan field of view of 50 cm. In the phantom study, an HU value accuracy of about ± 40 HU was achieved with skin-line accuracy of about ± 3 mm.
Reported performance (3 observations)
source quote (p.25)
“It has been shown that the algorithm was able to consistently detect needle-tips over a wide variety of scans in 90.76% of cases.”
source quote (p.27)
“In the phantom study, an HU value accuracy of about ± 40 HU was achieved with skin-line accuracy of about ± 3 mm.”
source quote (p.27)
“In the phantom study, an HU value accuracy of about ± 40 HU was achieved with skin-line accuracy of about ± 3 mm.”
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
- recall_reason_pattern
Software/algorithm-related recall in product code JAK (Siemens Medical Solutions USA, Inc, initiated 2025-12-19): "To remove the software applications from certain CT systems as the applications have not received FDA 510(k) clearance." Recalling firm matches this device's applicant.
first seen 2026-07-08 · recall res_event_number:98206
- re_clearance
The FDA AI/ML device list shows a newer 510(k) K243523 (decision 2025-02-12) from Siemens Medical Solutions USA, Inc. for a matching device line ("NAEOTOM Alpha.Peak/ NAEOTOM Alpha; NAEOTOM Alpha.Pro; NAEOTOM Alpha.Prime") — a new clearance for the same line is a change event.
first seen 2026-07-08 · k_number:K243523
- recall_reason_pattern
Software/algorithm-related recall in product code JAK (GE Medical Systems, LLC, initiated 2026-03-26): "GE HealthCare has become aware of a potential security vulnerability impacting AW Server deployed via Edison Health Link (EHL) based CT Smart Subscription used in conjunction with " Recalling firm is another firm in the same product code.
first seen 2026-07-08 · recall res_event_number:98738
- recall_reason_pattern
Software/algorithm-related recall in product code JAK (PHILIPS MEDICAL SYSTEMS, initiated 2026-03-07): "Philips has identified three software issues: 1. During a continuous CT (CCT) scan, there is the potential that the Gantry could remain at the current scan position after pressing" Recalling firm is another firm in the same product code.
first seen 2026-07-08 · recall res_event_number:98588
- recall_reason_pattern
Software/algorithm-related recall in product code JAK (PHILIPS MEDICAL SYSTEMS, initiated 2025-09-25): "Issue 1: The potential for unintentional continued gantry/couch movement when a specific button series is used requiring use of manual stop. Issue 2. When performing a helical/Axia" Recalling firm is another firm in the same product code.
first seen 2026-07-08 · recall res_event_number:97699
- recall_reason_pattern
Software/algorithm-related recall in product code JAK (Philips North America Llc, initiated 2025-05-29): "Devices with affected software may experience two unintended motion issues that may lead to contact between the Gantry or table with the operator or patient, along with additional " Recalling firm is another firm in the same product code.
first seen 2026-07-08 · recall res_event_number:97010
- …and 4 more.
Recalls attributed to this device
Recalling firm matches this device's applicant (Siemens Medical Solutions USA, Inc) — same firm and product code, not necessarily this device · initiated 2025-12-19
To remove the software applications from certain CT systems as the applications have not received FDA 510(k) clearance.
recall event 98206 (openFDA)
Recalling firm matches this device's applicant (Siemens Medical Solutions USA, Inc) — same firm and product code, not necessarily this device · initiated 2025-12-19
To remove the software applications from certain CT systems as the applications have not received FDA 510(k) clearance.
recall event 98206 (openFDA)
Recalling firm matches this device's applicant (Siemens Medical Solutions USA, Inc) — same firm and product code, not necessarily this device · initiated 2025-12-19
To remove the software applications from certain CT systems as the applications have not received FDA 510(k) clearance.
recall event 98206 (openFDA)
Recalling firm matches this device's applicant (Siemens Medical Solutions USA, Inc) — same firm and product code, not necessarily this device · initiated 2025-12-19
To remove the software applications from certain CT systems as the applications have not received FDA 510(k) clearance.
recall event 98206 (openFDA)
Recall and MAUDE counts are product-code-level (reports aren't reliably attributable to one device); a recall is shown as device-attributed only when the recall record itself lists this clearance number. 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).
Applicable FDA guidance — what the submission is measured against
FDA guidance documents and guiding principles applicable to 510(k) AI/ML devices in the Radiology panel. A curated reference index, not legal or regulatory advice — each item states its own status, and a draft is never binding.
- Final guidanceRadiology-specific2022-09Computer-Assisted Detection Devices Applied to Radiology Images and Radiology Device Data - Premarket Notification [510(k)] Submissions
Radiology CADe/CADx · Software premarket content
Original July 2012; current database date reflects a Sept 2022 reissue. Governs CADe device 510(k) content.
- Final guidanceRadiology-specific2022-09Clinical Performance Assessment: Considerations for Computer-Assisted Detection Devices Applied to Radiology Images and Radiology Device Data in Premarket Notification (510(k)) Submissions
Radiology CADe/CADx
Original July 2012, revised 2020; current database date Sept 2022. Covers standalone and reader-study performance assessment for CADe.
- Final guidanceRadiology-specific2022-06Technical Performance Assessment of Quantitative Imaging in Radiological Device Premarket Submissions
Quantitative imaging · Radiology CADe/CADx
Final (June 2022). Relevant to devices outputting quantitative imaging measurements.
- Final guidance2026-01Clinical Decision Support Software
Clinical decision support · SaMD (general)
New final guidance issued Jan 2026, superseding the Sept 2022 version; narrows the device-CDS scope. Applies to software that informs clinical management.
- Final guidance2026-01General Wellness: Policy for Low Risk Devices
SaMD (general) · Clinical decision support
Revised final (Jan 2026); now addresses noninvasive products estimating physiologic parameters (SpO2, BP, glucose). Reshapes the device / non-device line for AI wellness features.
- Final guidance2025-09Computer Software Assurance for Production and Quality Management System Software
SaMD (general) · Postmarket
Final (Sept 2025). Covers software used in production/QMS (incl. ML development-pipeline tooling), superseding Section 6 of the 2002 GPSV — not device software functions themselves.
- Final guidance2025-06Cybersecurity in Medical Devices: Quality Management System Considerations and Content of Premarket Submissions
Cybersecurity · Software premarket content
Reissued June 2025 (retitled 'Quality Management System', was Sept 2023 'Quality System'); adds coverage of FD&C Act §524B cyber devices.
- Final guidance2024-12Marketing Submission Recommendations for a Predetermined Change Control Plan for Artificial Intelligence-Enabled Device Software Functions
Predetermined Change Control Plan · AI/ML lifecycle · Software premarket content
Final (Dec 2024). Supersedes the April 2023 AI/ML PCCP draft.
- Final guidance2023-10Electronic Submission Template for Medical Device 510(k) Submissions
Software premarket content
eSTAR has been mandatory for 510(k)s since Oct 2023 — operationally unavoidable, though not AI-specific.
- Final guidance2023-08Off-The-Shelf Software Use in Medical Devices
Software premarket content · SaMD (general)
Final (Aug 2023). Applies when a device incorporates off-the-shelf software components (common in ML stacks).
- Final guidance2023-06Content of Premarket Submissions for Device Software Functions
Software premarket content · SaMD (general)
Final (June 2023); replaced the May 2005 'Software Contained in Medical Devices' guidance. Documentation level drives the software content of the submission.
- Final guidance2022-09Policy for Device Software Functions and Mobile Medical Applications
SaMD (general) · Clinical decision support
Current version Sept 2022. Frames which software functions FDA regulates as devices.
- Final guidance2021-10De Novo Classification Process (Evaluation of Automatic Class III Designation)
De Novo pathway
Final (Oct 2021), issued with the De Novo final rule. Most relevant to first-of-a-kind devices without a predicate (DEN-numbered clearances).
- Final guidance2016-12Postmarket Management of Cybersecurity in Medical Devices
Cybersecurity · Postmarket
- Final guidance2002-01General Principles of Software Validation
SaMD (general) · Software premarket content
Still active except Section 6 (superseded Sept 2025 by the Computer Software Assurance final guidance).
- Draft guidance2025-01Artificial Intelligence-Enabled Device Software Functions: Lifecycle Management and Marketing Submission Recommendations
AI/ML lifecycle · Software premarket content · Transparency
Draft as of July 2026 (published Jan 2025); finalization is on CDRH's FY2026 agenda but not yet published. Treat as FDA's stated direction, not a binding expectation.
- Draft guidance2024-08Predetermined Change Control Plans for Medical Devices
Predetermined Change Control Plan · Postmarket
Draft (Aug 2024) extending PCCPs beyond AI to all devices under FD&C §515C; not final as of July 2026.
- Guiding principles2024-06Transparency for Machine Learning-Enabled Medical Devices: Guiding Principles
Transparency · AI/ML lifecycle
- Guiding principles2023-10Predetermined Change Control Plans for Machine Learning-Enabled Medical Devices: Guiding Principles
Predetermined Change Control Plan · AI/ML lifecycle
FDA/Health Canada/MHRA joint principles (Oct 2023); companion to the GMLP and Transparency principles.
- Guiding principles2021-10Good Machine Learning Practice for Medical Device Development: Guiding Principles
AI/ML lifecycle · SaMD (general)
FDA/Health Canada/MHRA joint principles (Oct 2021). Foundational, not a binding guidance; IMDRF issued a related GMLP document Jan 2025.
Applicability is derived from the device's FDA advisory panel and pathway — cross-cutting guidances apply to every AI/ML device; panel-specific ones are flagged. Titles, dates, and links verified against fda.gov as of July 2026.