Kosmos

K233826

EchoNous, Inc. · cleared 2024-08-29 · product code IYN · Radiology

Premarket evidence — what FDA accepted

Device typehardware with ml
source quote (p.3)
Kosmos is intended to be used by qualified and trained healthcare professionals in the clinical assessment for the following clinical applications by acquiring, processing, displaying, measuring, and storing ultrasound images, or synchronized ultrasound images, electrocardiogram (ECG) rhythms, and digital auscultation (DA) sounds and waveforms. With respect to its ultrasound imaging capability, Kosmos is a general-purpose diagnostic ultrasound system used in the following clinical applications and modes of operation: Clinical Applications: Cardiac, Thoracic/Lung, Abdominal, Vascular/Peripheral Vascular, Musculoskeletal, and interventional guidance (includes free hand needle / catheter placement fluid drainage, and nerve block) Modes of Operation: B-mode, M-mode, Color Doppler, Pulsed Wave (PW) Doppler, Continuous Wave (CW) Doppler, Combined Modes of B+M, and B+CD, B+PW, B+CW, and Harmonic Imaging Kosmos includes the AI-assisted automated ejection fraction software, known as Auto EF, which is used to process previously acquired transthoracic cardiac ultrasound images, to store images, and to manipulate and make measurements on images using the Kosmos. Auto EF provides automated estimation of left ventricular ejection fraction. This measurement can be used to assist the clinician in a cardiac evaluation. Auto EF is indicated for use on adult patients only in healthcare facilities. The Kosmos includes the Auto Anatomical Structure Labeling and View Identification, also referred to as AI FAST, software, which is intended for use only by qualified and trained medical professionals for automatic real-time detection and labeling of anatomical structures during image acquisition during cardiac, thoracic/lung, or abdominal ultrasound imaging. This feature is only indicated for use on adult patients only in healthcare facilities.
AlgorithmAI-assisted automated ejection fraction software (Auto EF) for automated estimation of left ventricular ejection fraction, and Auto Anatomical Structure Labeling and View Identification (AI FAST) software for automatic real-time detection and labeling of anatomical structures during image acquisition.
source quote (p.3)
Kosmos includes the AI-assisted automated ejection fraction software, known as Auto EF, which is used to process previously acquired transthoracic cardiac ultrasound images, to store images, and to manipulate and make measurements on images using the Kosmos. Auto EF provides automated estimation of left ventricular ejection fraction. This measurement can be used to assist the clinician in a cardiac evaluation. Auto EF is indicated for use on adult patients only in healthcare facilities. The Kosmos includes the Auto Anatomical Structure Labeling and View Identification, also referred to as AI FAST, software, which is intended for use only by qualified and trained medical professionals for automatic real-time detection and labeling of anatomical structures during image acquisition during cardiac, thoracic/lung, or abdominal ultrasound imaging. This feature is only indicated for use on adult patients only in healthcare facilities.
Adaptive (vs locked)FDA source did not state this
PCCPNo
Cybersecurity addressedNo

Validation studies (0)

FDA source did not describe a validation study.

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

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 (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, 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 is another firm in the same product code.

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

  • 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/K233826