HYPER DLR

K193210

Shanghai United Imaging Healthcare Co., Ltd. · cleared 2020-08-04 · product code KPS · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.5)
HYPER DLR is a software-only device.
Algorithmpre-trained neural network, convolutional neural network
source quote (p.5)
HYPER DLR is an image post-processing technique which uses a pre-trained neural network to predict low noise PET image from high noise PET image. After training, the network could extract the noise component from the image, thus reducing the image noise. The software employs a convolutional neural network
Adaptive (vs locked)No
PCCPNo
Cybersecurity addressedYes
source quote (p.7)
UNITED IMAGING HEALTHCARE conforms to the Cybersecurity requirements by implementing a process of preventing unauthorized access, modification, misuse or denial of use, or unauthorized use of information that is stored, accessed, or transferred from a medical device to an external recipient. Cybersecurity information in accordance with guidance document “Content of Premarket Submissions for Management of Cybersecurity in Medical Devices” is included in this submission.

Validation studies (2)

Bench

sample size not stated

endpoints: Peak signal to noise ratio; Structural similarity index; Pearson correlation coefficient; Signal to noise ratio (SNR); Contrast to noise ratio (CNR); Normalized root mean square error; Bland-Altman plot of body & brain VOI SUVmean values

standards: NEMA PS 3.1-3.20(2011): Digital Imaging and Communications in Medicine (DICOM), IEC 62304: Medical Device Software - software life cycle process, Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices, Content of Premarket Submissions for Management of Cybersecurity in Medical Devices, ISO 14971: Medical Devices – Application of risk management to medical devices, Code of Federal Regulations, Title 21, Part 820 - Quality System Regulation, Code of Federal Regulations, Title 21, Subchapter J - Radiological Health

Reader study (MRMC)

sample size not stated

endpoints: image noise; overall image quality; diagnostic quality

standards: NEMA PS 3.1-3.20(2011): Digital Imaging and Communications in Medicine (DICOM), IEC 62304: Medical Device Software - software life cycle process, Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices, Content of Premarket Submissions for Management of Cybersecurity in Medical Devices, ISO 14971: Medical Devices – Application of risk management to medical devices, Code of Federal Regulations, Title 21, Part 820 - Quality System Regulation, Code of Federal Regulations, Title 21, Subchapter J - Radiological Health

Reported performance (0 observations)

FDA source did not state a quantitative performance metric — non-reporting is itself the signal.

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

34
recalls in product code, 24mo
8
MAUDE reports in code, 12mo
-72%
vs code's own 3-yr baseline
4
drift signals on this device
  • recall_reason_pattern

    Software/algorithm-related recall in product code KPS (GE MEDICAL SYSTEMS ISRAEL, FUNCTIONAL IMAGING 9, Andrey Sakharov Haifa Israel, initiated 2025-12-24): "There is a potential intermittent issue on certain Omni Legend systems that can result in a streaking artifact in the PET clinical scan images. This streaking artifact is most eas" Recalling firm is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:98269

  • recall_reason_pattern

    Software/algorithm-related recall in product code KPS (GE MEDICAL SYSTEMS ISRAEL, FUNCTIONAL IMAGING 4, Hayozma St Tirat Carmel Israel, initiated 2025-06-20): "Unintended radial detector motion may occur during patient setup or during patient scan if system does not have correct version of gantry software installed. Unintended detector mo" Recalling firm is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:97193

  • recall_reason_pattern

    Software/algorithm-related recall in product code KPS (Hermes Medical Solutions AB Strandbergsgatan 16 Stockholm Sweden, initiated 2024-10-31): "Due a potential software/configuration issue that may result is incorrect alignment during reconstructing a SPECT/CT study." Recalling firm is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:95673

  • recall_reason_pattern

    Software/algorithm-related recall in product code KPS (Canon Medical System, USA, INC., initiated 2024-09-17): "When PET-CT system is executing reconstruction, if PET acquisition for another patient is performed (or PET reconstruction for another patient is performed from raw data processing" Recalling firm is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:95471

Recalls attributed to this device

  • Recalling firm matches this device's applicant (Shanghai United Imaging Healthcare Co., Ltd. No. 2258 Chengbei Rd, Jiading Ind. Shanghai China) — same firm and product code, not necessarily this device · initiated 2023-03-01

    Due to a software issue where the process of patient scanning, the scatter correction may occasionally fail with will potentially cause a failure of the PET image reconstruction and generation of PET images.

    recall event 91870 (openFDA)

  • Recalling firm matches this device's applicant (Shanghai United Imaging Healthcare Co., Ltd. No. 2258 Chengbei Rd, Jiading Ind. Shanghai China) — same firm and product code, not necessarily this device · initiated 2022-05-30

    The wireless VSM module of a mobile PET/CT system, operating in an environment with strong Wi-Fi signals, may experience ECG signal and respiratory signal loss due to Wi-Fi interference. ECG and respiratory signal loss during acquisition can result in the failure of ECG and respiratory-gated reconstruction of the PET scan, which may require rescanning of the patient.

    recall event 90888 (openFDA)

  • Recalling firm matches this device's applicant (Shanghai United Imaging Healthcare Co., Ltd. No. 2258 Chengbei Rd, Jiading Ind. Shanghai China) — same firm and product code, not necessarily this device · initiated 2021-08-02

    The EXAM acquisition workflow could occasionally freeze after canceling the PET scan.

    recall event 88521 (openFDA)

  • Recalling firm matches this device's applicant (Shanghai United Imaging Healthcare Co., Ltd. No. 2258 Chengbei Rd, Jiading Ind. Shanghai China) — same firm and product code, not necessarily this device · initiated 2021-08-02

    The EXAM acquisition workflow could occasionally freeze after canceling the PET scan.

    recall event 88521 (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.

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.

Constat Precedent · public FDA/CMS data · descriptive decision-support, not regulatory or reimbursement advice. Share this page: constat.dev/precedent/device/K193210