uAngio AVIVA CX
K243376Shanghai United Imaging Healthcare Co.,Ltd. · cleared 2025-04-28 · product code OWB · Radiology
Premarket evidence — what FDA accepted
source quote (p.6)
“The uAngio AVIVA CX is an angiographic X-ray system that generates X-rays through the X-ray tube, receives the signal through the flat panel detector and presents the image after D/A conversion and image post-processing. The main software characteristics of the uAngio AVIVA CX include patient registration, patient administration, 2D&3D image viewing and post-processing, data import/archiving, filming, camera-assisted recognition function (uSpace), and voice control function (uLingo).”
source quote (p.11)
“uSpace uses multi-view cameras with machine learning methods and includes the following features: uLingo is based on a machine learning method and it allows the system to be controlled via user's voice command, such as protocol selection, image browsing, motion control, and tool utilization, to enhance the system's usability.”
Validation studies (8)
Bench
sample size not stated
endpoints: C-arm positioning accuracy; Imaging performance of CBCT (including in-plane uniformity, spatial resolution, reconstruction section thickness, noise, contrast to noise ratio, artifact analyses) can meet the requirements; Radiation dose can meet the requirements
standards: ANSI/AAMI ES60601-1:2005/A2:2021 Medical electrical equipment - Part 1: General requirements for basic safety and essential performance - Amendment 2, ANSI/AAMI/IEC 60601-1-2:2014/A1:2021 Medical electrical equipment - Part 1-2: General requirements for basic safety and essential performance - Collateral standard: Electromagnetic disturbances - Requirements and tests - Amendment 1, IEC 60601-1-3:2021 Medical electrical equipment - Part 1-3: General requirements for basic safety and essential performance - Collateral Standard: Radiation protection in diagnostic X-ray equipment, IEC 60601-2-54:2022 Medical electrical equipment – Part 2-54: Particular requirements for the basic safety and essential performance of X-ray equipment for radiography and radioscopy, IEC 60601-2-43:2022 Medical Electrical Equipment - Part 2-43: Particular Requirements For The Basic Safety And Essential Performance Of X-Ray Equipment For Interventional Procedures, IEC 60601-2-28:2017 Medical electrical equipment-Part 2-28: Particular requirements for the basic safety and essential performance of X-ray tube assemblies for medical diagnosis, IEC 60825-1:2014 Safety of laser products - Part 1: Equipment classification and requirements
Bench
n=3 other
endpoints: The accuracy of the Image Registration Algorithm can meet the requirement of mean target registration error (mTRE) less than the pixel diagonal distance.
Bench
n=2 other
endpoints: Dynamic range meets the submillimeter vessel simulation component is visible across all copper step wedges of the subtracted image.; Contrast sensitivity meets the low millimeter vascular simulation component should be visible in a copper step wedge of sufficient thickness in the subtraction image.
Bench
n=8 other
endpoints: The accuracy of neuro registration can meet a precision of at least 1 mm.
Bench
sample size not stated
endpoints: The accuracy of the Image Registration Algorithm in Stitching can meet the requirement of mean target registration error (mTRE) less than the pixel diagonal distance.
Bench
sample size not stated
endpoints: Test the performance of the human key point detection accuracy.; Test the performance of the collision detection rate.; The performance of the auto SID meets the distance maintenance accuracy.; And the adjustment of SID meets the requirements of radiation safety and image quality.
Bench
n=18 other
endpoints: Test the performance of wake-up algorithm.; Test the performance of voice commands recognition algorithm.
Retrospective clinical
sample size not stated
endpoints: Each image received a score of ≥ 3 and received a PASS result, indicating that image quality fulfills the need for diagnostic, intervention, and surgical procedures.
Reported performance (2 observations)
source quote (p.16)
“When the environmental signal-to-noise ratio (SNR) is ≥15 dB(A), the wake-up accuracy rate reaches ≥95%;”
source quote (p.16)
“When environmental SNR is 10 dB(A), the wake-up accuracy rate reaches ≥85%.”
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 OWB (Siemens Medical Solutions USA, Inc, initiated 2026-05-20): "Potential for loss of movement capability after adjusting the detector lift height to its maximum or minimum limits." Recalling firm is another firm in the same product code.
first seen 2026-07-08 · recall res_event_number:99079
- recall_reason_pattern
Software/algorithm-related recall in product code OWB (Medtronic Navigation, Inc.-Boxborough, initiated 2026-05-19): "Potential for image artifacts caused by an anomaly in the O-arm O2 Imaging System s detector panel firmware." Recalling firm is another firm in the same product code.
first seen 2026-07-08 · recall res_event_number:99041
- recall_reason_pattern
Software/algorithm-related recall in product code OWB (Siemens Medical Solutions USA, Inc, initiated 2025-12-29): "Ortho images acquired with preset automatic horizontal flip are not flipped and when acquiring single images, there is the possibility that an image of a previous patient may be pr" Recalling firm is another firm in the same product code.
first seen 2026-07-08 · recall res_event_number:98244
- recall_reason_pattern
Software/algorithm-related recall in product code OWB (PHILIPS MEDICAL SYSTEMS NEDERLAND B.V. Veenpluis 4-6 Best Netherlands, initiated 2025-12-12): "Six (6) identified software issues which may result in the following: system keeps restarting, AMC triple drive, C-Partition of Suite PC running out of free space, system remains i" Recalling firm is another firm in the same product code.
first seen 2026-07-08 · recall res_event_number:98096
- recall_reason_pattern
Software/algorithm-related recall in product code OWB (PHILIPS MEDICAL SYSTEMS NEDERLAND B.V. Veenpluis 4-6 Best Netherlands, initiated 2025-12-12): "Philips has identified two (2) software issues affecting device systems that may result in loss of imaging (X-ray) functionality and/or loss of motorized movement, and/or incorrect" Recalling firm is another firm in the same product code.
first seen 2026-07-08 · recall res_event_number:98108
- recall_reason_pattern
Software/algorithm-related recall in product code OWB (PHILIPS MEDICAL SYSTEMS NEDERLAND B.V. Veenpluis 4-6 Best Netherlands, initiated 2025-12-08): "Nine (9) identified software issues which may result in the following: loss of X-ray after Pedal Tap, loss of X-ray after Phase Fault, missing live X-ray on the FlexVision monitor," Recalling firm is another firm in the same product code.
first seen 2026-07-08 · recall res_event_number:98071
- …and 1 more.
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.