Strain AI (SAI001)

K242359

Exo Inc · cleared 2024-11-20 · product code QIH · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.6)
Exo's Strain Al is a software as a medical device (SaMD), intended as an aid in diagnostic analysis of echocardiography data.
AlgorithmUltrasound image processing software implementing artificial intelligence including non-adaptive machine learning algorithms
source quote (p.6)
Ultrasound image processing software implementing artificial intelligence including non-adaptive machine learning algorithms trained with clinical data intended for non-invasive analysis of ultrasound data
Adaptive (vs locked)No
source quote (p.6)
non-adaptive machine learning algorithms
PCCPNo
Cybersecurity addressedFDA source did not state this

Validation studies (1)

Retrospective clinical

sample size not stated

endpoints: intraclass correlation coefficient (ICC); root mean square difference (RMSD)

standards: IEC 62304:2006/AC:2015 - Medical device software – Software life cycle processes

Reported performance (1 observation)

agreement_kappaas written: “Global Longitudinal Strain (GLS) ICC0.95CI 0.91 – 0.97
source quote (p.8)
0.95 (0.91 – 0.97)

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

0
recalls in product code, 24mo
3
MAUDE reports in code, 12mo
vs code's own 3-yr baseline
0
drift signals on this device

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/K242359