Philips CT 3500

K223311

Philips Healthcare (Suzhou) Co., Ltd · cleared 2022-12-22 · product code JAK · Radiology

Premarket evidence — what FDA accepted

Device typehardware with ml
source quote (p.20)
“Precise image reconstruction is a recon mode where the system uses a trained deep learning neural network to generate noise reduction images and improve low contrast detectability with reduced dose compared with standard FBP recon mode.”
Algorithmtrained deep learning neural network
source quote (p.20)
“Precise image reconstruction is a recon mode where the system uses a trained deep learning neural network to generate noise reduction images and improve low contrast detectability with reduced dose compared with standard FBP recon mode.”
Adaptive (vs locked)FDA source did not state this
PCCPFDA source did not state this
Cybersecurity addressedYes
source quote (p.10)
“Guidance for Industry and FDA Staff – Content of Premarket Submissions for Management of Cybersecurity in Medical Devices (issued October 2, 2014, document number 1825)”

Validation studies (1)

Bench

sample size not stated

endpoints: design verification; design validation; consensus standards test; system requirement specifications (SRS); system design input requirements; intended use and commercial claims; workflow validation

standards: AAMI / ANSI ES60601-1:2005/(R)2012 and A1:2012, C1:2009/(R) 2012 and A2:2010/(R) 2012 (Consolidated Text) Medical Electrical Equipment - Part 1: General Requirements for Basic Safety and Essential Performance (IEC 60601-1:2005, MOD)., IEC 60601-1-2 Edition 4.0 2014-02, Medical electrical equipment - Part 1-2: General requirements for basic safety and essential performance – Collateral standard: Electromagnetic disturbances - Requirements and tests, IEC 60601-1-3 Edition 2.1 2013-04, Medical electrical equipment -- Part 1-3: General requirements for basic safety and essential performance - Collateral standard: Radiation protection in diagnostic X-ray equipment, IEC 60601-1-6 Edition 3.2 2020-07 CONSOLIDATED VERSION, Medical electrical equipment -- Part 1-6: General requirements for basic safety and essential performance - Collateral standard: Usability, IEC 60601-2-44 Edition 3.2: 2016, Medical electrical equipment - Part 2-44: Particular requirements for the basic safety and essential performance of X-ray equipment for computed tomography, IEC 62304 Edition 1.1 2015-06 CONSOLIDATED VERSION, Medical device software -- Software life cycle processes, IEC 62366-1 Edition 1.1 2020-06 CONSOLIDATED VERSION, Medical devices -- Part 1: Application of usability engineering to medical devices, ISO 14971 Third Edition 2019-12 Medical devices – Application of risk management to medical devices, ISO 10993-1 Fifth edition 2018-08 Biological evaluation of medical devices - Part 1: Evaluation and testing within a risk management process, NEMA XR 25 -2019 Computed Tomography Dose Check, NEMA XR 26-2020 Access Controls for Computed Tomography – Identification, Interlocks, and Logs, NEMA XR 28-2013 Supplemental Requirements for User Information and System Function Related to Dose in CT, NEMA XR 29-2013 Standard Attributes on CT Equipment Related to Dose Optimization and Management, Guidance for Industry and FDA Staff – Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices (issued May 11, 2005, document number 337), Guidance for Industry and FDA Staff – Content of Premarket Submissions for Management of Cybersecurity in Medical Devices (issued October 2, 2014, document number 1825), Guidance for Industry and FDA Staff – Use of International Standard ISO 10993-1, "Biological evaluation of medical devices - Part 1: Evaluation and testing within a risk management process" (issued September 4, 2020, document number 1811-R1), Guidance for Industry and Food and Drug Administration Staff – Electromagnetic Compatibility (EMC) of Medical Devices: (issued June 6, 2022, document number 1400057)

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

75
recalls in product code, 24mo
192
MAUDE reports in code, 12mo
-22%
vs code's own 3-yr baseline
9
drift signals on this device
  • 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 (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 is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:98206

  • 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

  • recall_reason_pattern

    Software/algorithm-related recall in product code JAK (, initiated 2025-05-23): "Due to a software bug the robotic arm may incorrectly guide the instrument compared to the planning defined by user." Recalling firm is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:96967

  • …and 3 more.

Recalls attributed to this device

  • Recalling firm matches this device's applicant (Philips Healthcare (Suzhou) Co., Ltd. Suzhou Industrial Park No.) — same firm and product code, not necessarily this device · initiated 2025-12-03

    Potential for incomplete scan due to unstable connection inside of floating sensor.

    recall event 98238 (openFDA)

  • Recalling firm matches this device's applicant (Philips Healthcare) — same firm and product code, not necessarily this device · initiated 2023-08-02

    Philips has identified three software issues with compliance concerns to Subchapter J: Issue 1: Coronary Computed Tomography Angiography (CTA) scan may not be triggered at the optimal time. Issue 2: Use of aborted surview for scan planning will result in deviation from intended scan area. Issue 3: Actual clinical scan with bariatric (Noah) couch will deviate from the intended scan area if surview scan length is greater than 1832mm.

    recall event 93000 (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/K223311