LOGIQ E10s

K251963

Ge Medical Systems Ultrasound and Primary Care Diagnostics · cleared 2025-10-29 · product code IYN · Radiology

Premarket evidence — what FDA accepted

Device typehardware with ml
source quote (p.6)
The LOGIQ E10s is a full featured, Track 3, general purpose diagnostic ultrasound system which consists of a mobile console approximately 585 mm wide (keyboard), 991 mm deep and 1300 mm high that provides digital acquisition, processing and display capability. The user interface includes a computer keyboard, specialized controls, 12-inch high-resolution color touch screen and 23.8-inch High Contrast LED LCD monitor. automated radiological image processing software, 21 CFR 892.2050, 90-QIH
AlgorithmFDA source did not state this
Adaptive (vs locked)FDA source did not state this
PCCPFDA source did not state this
Cybersecurity addressedFDA source did not state this

Validation studies (6)

Retrospective clinical

n=49 patients

endpoints: Detection accuracy; Sensitivity (True Positive Rate); Specificity (True Negative Rate); DICE Similarity Coefficient (Segmentation Accuracy)

Retrospective clinical

sample size not stated

endpoints: Average accuracy; average absolute error; Limits of Agreement

Retrospective clinical

sample size not stated

endpoints: Average accuracy; average absolute error; Limits of Agreement

Retrospective clinical

n=582 patients · 1 site(s)

endpoints: correlation coefficient; offset; limit of agreement (LOA); differences between UFF and MRI-PDFF values were within; results in patients were smaller than the LOA

Retrospective clinical

n=20 patients · 2 site(s)

endpoints: correlation coefficient; offset; limit of agreement (LOA); differences between UFF and MRI-PDFF values were within; results in patients were smaller than the LOA

Retrospective clinical

n=24 patients · 1 site(s)

endpoints: correlation coefficient; offset; limit of agreement (LOA); differences between UFF and MRI-PDFF values were within; results in all patients were smaller than the LOA

Reported performance (9 observations)

sensitivity0.91
source quote (p.9)
The model achieved accuracy of 94.8%, with sensitivity of 0.91, specificity of 0.98, and a DICE score of 0.82, all of which meet the predefined acceptance criteria.
specificity0.98
source quote (p.9)
The model achieved accuracy of 94.8%, with sensitivity of 0.91, specificity of 0.98, and a DICE score of 0.82, all of which meet the predefined acceptance criteria.
accuracyas written: “Detection accuracy0.948
source quote (p.9)
The model achieved accuracy of 94.8%, with sensitivity of 0.91, specificity of 0.98, and a DICE score of 0.82, all of which meet the predefined acceptance criteria.
diceas written: “DICE score0.82
source quote (p.9)
The model achieved accuracy of 94.8%, with sensitivity of 0.91, specificity of 0.98, and a DICE score of 0.82, all of which meet the predefined acceptance criteria.
accuracyas written: “Average accuracy (Long View AP)0.872CI +/- 1.98%
source quote (p.10)
Average accuracy is 87.2% with 95% CI of +/- 1.98% and average absolute error of 0.253 cm and 95% CI of 0.049 cm.
accuracyas written: “Average accuracy (Short View AP)0.929CI +/- 2.02%
source quote (p.10)
Average accuracy is 92.9% with a 95% CI of +/- 2.02% and an average absolute error of 0.128 cm and 95% CI of 0.037 cm.
accuracyas written: “Average accuracy (Short View Trans)0.869CI +/- 6.25%
source quote (p.10)
Average accuracy is 86.9% with 95% CI of +/- 6.25% and average absolute error of 0.235 cm and 95% CI of 0.110 cm.
accuracyas written: “Average accuracy (Porta Hepatis without segmentation scroll edit)0.5985CI +/- 17.86%
source quote (p.12)
Average accuracy is 59.85% with 95% CI of +/- 17.86% and average absolute error of 1.66 mm and 95% CI of 1.02 mm.
accuracyas written: “Average accuracy (Porta Hepatis with segmentation scroll edit)0.8056CI +/- 8.83%
source quote (p.12)
Average accuracy is 80.56% with a 95% CI of +/- 8.83% and an average absolute error 0.91 mm and 95% CI of 0.45 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

85
recalls in product code, 24mo
554
MAUDE reports in code, 12mo
+85%
vs code's own 3-yr baseline
4
drift signals on this device
  • recall_reason_pattern

    Software/algorithm-related recall in product code IYN (GE Medical Systems, LLC, initiated 2025-09-18): "The Ultrasound-Guided Attenuation Parameter (UGAP) measurement data may display inaccurate values representing liver steatosis. This could potentially lead to inappropriate clinica" Recalling firm matches this device's applicant.

    first seen 2026-07-08 · recall res_event_number:97726

  • recall_reason_pattern

    Software/algorithm-related recall in product code IYN (Philips Ultrasound, LLC, initiated 2025-10-31): "Ultrasound system compatibility issues with Apple devices running iOS 18 may cause a failure to perform live imagining." Recalling firm is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:97843

  • recall_reason_pattern

    Software/algorithm-related recall in product code IYN (GE Medical Systems China Co., Ltd. Dev. Zone National Hi-Tech; No., initiated 2025-05-16): "GE HealthCare has become aware that the Estimated Fetal Weight (EFW) measurement data feature on the Versana Premier R3 and LOGIQ F R3 series ultrasound systems can display previou" Recalling firm is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:96992

  • recall_reason_pattern

    Software/algorithm-related recall in product code IYN (Siemens Medical Solutions USA, Inc., initiated 2024-08-15): "If ultrasound systems with software, are changed from factory default to : 1) Milliliters per second (ml/sec, mL/sec) or 2) Milliliters per minute (ml/min, mL/min); then systems wi" Recalling firm is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:95254

Recall and MAUDE counts are product-code-level (reports aren't reliably attributable to one device). 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).

RIGOR™ Precedent · public FDA/CMS data · descriptive decision-support, not regulatory or reimbursement advice. Share this page: radar.healthai.com/precedent/device/K251963