AI4CMR v1.0

K220624

AI4MedImaging Medical Solutions S.A. · cleared 2022-07-22 · product code LLZ · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.3)
AI4CMR software is designed to report cardiac function measurements (ventricle volumes, ejection fraction, indices etc.) from 1.5T and 3T magnetic resonance (MR) scanners. AI4CMR uses artificial intelligence to automatically segment and quantify the different cardiac measurements.
Algorithmartificial intelligence
source quote (p.3)
AI4CMR uses artificial intelligence to automatically segment and quantify the different cardiac measurements.
Adaptive (vs locked)FDA source did not state this
PCCPFDA source did not state this
Cybersecurity addressedYes
source quote (p.8)
Additionally, the software validation activities were performed in accordance with ANSI AAMI IEC 62304:2006/A1:2016 - Medical device software – Software life cycle processes, in addition to the FDA Guidance documents, “Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices” and “Content of Premarket Submission for Management of Cybersecurity in Medical Devices.”

Validation studies (2)

Bench

n=15 cases

endpoints: myocardial segmentation; End-diastolic volume (EDV); End-systolic volume (ESV); LV mass (LVM); Ejection Fraction (EF)

standards: ANSI AAMI IEC 62304:2006/A1:2016, FDA Guidance documents, “Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices”, Content of Premarket Submission for Management of Cybersecurity in Medical Devices.

Reader study (MRMC)

n=146 cases

endpoints: agreement between the AI4MED device and 2 expert readers; volumes; LV mass; Ejection Fraction

standards: ANSI AAMI IEC 62304:2006/A1:2016, FDA Guidance documents, “Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices”, Content of Premarket Submission for Management of Cybersecurity in Medical Devices.

Reported performance (12 observations)

diceas written: “Dice Similarity Coefficient (DSC) for myocardium segmentation0.72
source quote (p.8)
For myocardium segmentation, an average dice similarity coefficient (DSC) of 0.72 per image was achieved.
agreement_kappaas written: “Intraclass Correlation Coefficient (ICC) for EDV (Bench Study)0.95
source quote (p.8)
For LVM, EDV, ESV, and EF the intraclass correlation coefficient (ICC) was evaluated and the following performance was obtained: ... EDV ... 0.95
agreement_kappaas written: “Intraclass Correlation Coefficient (ICC) for ESV (Bench Study)0.99
source quote (p.8)
For LVM, EDV, ESV, and EF the intraclass correlation coefficient (ICC) was evaluated and the following performance was obtained: ... ESV ... 0.99
agreement_kappaas written: “Intraclass Correlation Coefficient (ICC) for EF (Bench Study)0.99
source quote (p.8)
For LVM, EDV, ESV, and EF the intraclass correlation coefficient (ICC) was evaluated and the following performance was obtained: ... EF ... 0.99
agreement_kappaas written: “Intraclass Correlation Coefficient (ICC) for LVM (Bench Study)0.78
source quote (p.8)
For LVM, EDV, ESV, and EF the intraclass correlation coefficient (ICC) was evaluated and the following performance was obtained: ... LVM ... 0.78
agreement_kappaas written: “Intraclass Correlation Coefficient (ICC) for Left Ventricular EDV (Clinical Study)0.99CI 0.98-0.99
source quote (p.9)
A summary of the agreement for Left and Right Ventricular EDV, Left and Right Ventricular ESV, Left and Right Ventricular Ejection Fraction, LV Myocardial Mass is provided below: ... AI4CMR vs consensus ... 0,990 ... 0,98 ... 0,99
agreement_kappaas written: “Intraclass Correlation Coefficient (ICC) for Left Ventricular ESV (Clinical Study)0.991CI 0.99-0.99
source quote (p.10)
Left Ventricular ESV ... AI4CMR vs consensus ... 0,992 ... 0,975 ... -2.893 ... 0,991 ... 0,99 ... 0,99
agreement_kappaas written: “Intraclass Correlation Coefficient (ICC) for Left Ventricular Ejection Fraction (Clinical Study)0.956CI 0.87-0.98
source quote (p.10)
Left Ventricular Ejection Fraction ... AI4CMR vs consensus ... 0,969 ... 0,909 ... 3,867 ... 0,956 ... 0,87 ... 0,98
agreement_kappaas written: “Intraclass Correlation Coefficient (ICC) for Left Ventricular Myocardial Mass (Clinical Study)0.955CI 0.94-0.97
source quote (p.11)
Left Ventricular Myocardial Mass ... AI4CMR vs consensus ... 0,956 ... 0,936 ... 2,452 ... 0,955 ... 0,94 ... 0,97
agreement_kappaas written: “Intraclass Correlation Coefficient (ICC) for Right Ventricular EDV (Clinical Study)0.964CI 0.92-0.98
source quote (p.11)
Right Ventricular EDV ... AI4CMR vs consensus ... 0,972 ... 0,924 ... 8,355 ... 0,964 ... 0,92 ... 0,98
agreement_kappaas written: “Intraclass Correlation Coefficient (ICC) for Right Ventricular ESV (Clinical Study)0.953CI 0.87-0.98
source quote (p.12)
Right Ventricular ESV ... AI4CMR vs consensus ... 0,967 ... 0,888 ... -9,083 ... 0,953 ... 0,87 ... 0,98
agreement_kappaas written: “Intraclass Correlation Coefficient (ICC) for Right Ventricular Ejection Fraction (Clinical Study)0.814CI 0.15-0.93
source quote (p.12)
Right Ventricular Ejection Fraction ... AI4CMR vs consensus ... 0,902 ... 0,712 ... 7,802 ... 0,814 ... 0,15 ... 0,93

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

48
recalls in product code, 24mo
295
MAUDE reports in code, 12mo
+683%
vs code's own 3-yr baseline
27
drift signals on this device
  • re_clearance

    The FDA AI/ML device list shows a newer 510(k) K252084 (decision 2026-02-11) from Ai4medimaging Medical Solutions S.A. for a matching device line ("AI4CMR v2.0") — a new clearance for the same line is a change event.

    first seen 2026-07-08 · k_number:K252084

  • adverse_event_inflection

    MAUDE adverse-event reports for product code LLZ: 295 in the 12 months ending 2026-06, vs a 37.7/12mo average over the prior 3 windows (+683%). Code-level count — reports are not attributed to this specific device.

    first seen 2026-07-08 · openFDA /device/event.json count=date_received product_code=LLZ

  • recall_reason_pattern

    Software/algorithm-related recall in product code LLZ (GE Medical Systems SCS, initiated 2026-05-08): "GE HealthCare has become aware of a context synchronization issue in AW Server 3.2 ext. 6.5. When a user selects a patient or exam in the AW Server Web Client worklist and launches" Recalling firm is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:99042

  • recall_reason_pattern

    Software/algorithm-related recall in product code LLZ (PHILIPS MEDICAL SYSTEMS NEDERLAND B.V. Veenpluis 4-6 Best Netherlands, initiated 2026-03-05): "Potential that mis-ordered frames in Vue Motion during dynamic cine runs may cause images frames to display out of sequence." Recalling firm is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:98520

  • recall_reason_pattern

    Software/algorithm-related recall in product code LLZ (GE Medical Systems, LLC, initiated 2026-01-30): "There is a potential cybersecurity vulnerability affecting certain versions of Centricity Universal Viewer. User login credentials may be exposed on the local client workstation, w" Recalling firm is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:98428

  • recall_reason_pattern

    Software/algorithm-related recall in product code LLZ (Focalyx Technologies, LLC., initiated 2025-12-23): "Software device that is an accessory for image-guided interventional and diagnostic procedures involving prostate has accessories that may not function properly with Windows 10, wh" Recalling firm is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:98137

  • …and 21 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.

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/K220624