FDA-cleared profile
GE Healthcare Japan Corporation
Deep Learning Image Reconstruction is a deep-learning reconstruction method that produces cross-sectional images of the head and whole body from X-ray transmission data acquired at different angles and planes, including axial, helical or volumetric, and cardiac acquisitions for all ages. It can be used for head, whole-body, cardiac, and vascular CT applications.
Clinical fit
Start with the authorized purpose, then verify how it fits your service line and reading workflow.
Regulatory identity
The FDA listing establishes the regulatory identity. It does not by itself establish local workflow fit, pricing, security, or performance in your environment.
Implementation
Use these fields to structure a vendor demo, security review, and implementation estimate.
This is the interface boundary described in the exact FDA package; current local compatibility, routing, identity, archive, and downtime behavior still require acceptance testing.
This is the release-level boundary described in the exact FDA package; current hosting, contracts, security, availability, upgrade path, and site configuration remain separate evidence.
Public materials reviewed for this exact release do not establish the complete security posture. Request data-flow, identity, audit, encryption, retention, remote-access, vulnerability-management, backup, and incident-response evidence.
This is buyer-facing monitoring guidance derived from the exact cleared or authorized scope; it is not a claim that the FDA package provides a live monitoring service.
Map installed model, build, options, population, anatomy, inputs, outputs, and enabled functions to K230807 before acceptance.
exact submission · checked 2026-09-04Later product-family features are not evidence that this cleared or authorized release includes them.
The FDA package describes DLIR as an option on supported GE CT system families; current installed hardware, software release, reconstruction protocol, service, security, and availability remain unverified.
exact submission · checked 2026-09-04FDA-described deployment boundaries do not establish current hosting contracts, security controls, uptime, or local qualification.
The FDA package describes a reconstruction option ported to named GE CT system families and using their X-ray transmission data and supported acquisition modes.
exact submission · checked 2026-09-04Test representative identifiers, orientation, geometry, measurements, units, routing, failure handling, and round trips locally.
Use a signed local test set for the supported population and workflow. Include common and difficult cases, exclusions, acquisition variation, failed or low-quality inputs, reviewer overrides, and downstream effects. Use is limited to supported GE CT platforms, reconstruction options, acquisition protocols, patient populations, and labeled applications; reconstruction does not replace professional interpretation.
exact submission · checked 2026-09-04Define stop-use, escalation, rollback, and revalidation triggers before production use.
Model capital and recurring cost against net staff time after review, throughput, repeat imaging or rework, room time, consumables, infrastructure, training, service, downtime, upgrade, and replacement costs.
product family · checked 2026-09-04No exact-product price was found in the reviewed public material; productivity or value claims require local evidence.
Monitor K230807 by exact hardware, software, model, and algorithm version; patient population; anatomy; protocol; operator; input quality; output edits or overrides; failed studies; repeat acquisition or rework; downstream impact; downtime; incidents; recalls; and updates. Track these product-specific limits: Use is limited to supported GE CT platforms, reconstruction options, acquisition protocols, patient populations, and labeled applications; reconstruction does not replace professional interpretation.
exact submission · checked 2026-09-04Revalidate after material software, hardware, model, protocol, interface, or clinical-policy changes. deep-learning CT image-reconstruction method limits remain submission-specific.
Evidence
Metrics are shown only when they are tied to a source, endpoint, population, and tested product version.
Sensitivity is not promoted as a product-wide endpoint. Compare only an exact endpoint, threshold, population, version, study design, and source if separately verified.
Specificity is not promoted as a product-wide endpoint. Compare only an exact endpoint, threshold, population, version, study design, and source if separately verified.
No contextualized exact-version metric has completed evidence review. Regulatory-document values, when available, are shown above with their limitations.
FDA 510(k) non-clinical software verification and substantial-equivalence evidence for a CT reconstruction option. · Head, whole body, cardiac, and vascular anatomy
exact submission · Tested version: Deep Learning Image Reconstruction configuration described in K230807 · Sponsor or vendor studyK230807
The decision material describes the same intended use as the predicate and does not establish product-wide clinical outcomes.
Economics and lifecycle
These are common procurement questions; unknown values remain visible until a source supports them.
No public list price for the exact cleared or authorized configuration was found. Obtain a written quote separating hardware or license basis, implementation, interfaces, infrastructure, training, service, upgrades, renewal, consumables, and exit costs.
No separate named-product payment identified in reviewed public material
Centers for Medicare & Medicaid Services · United StatesThis is not a product-specific reimbursement determination. Build a local total-cost and value model and verify payer, site-of-service, coding, and coverage assumptions independently.
Safety and lifecycle
Recall and adverse-event records are shown only after product matching. Adverse-event reports do not establish incidence or causality.
Exact-identifier review does not prove absence of all product-family safety signals.
Buyer worksheet
Research record
This audit distinguishes completed source review from fields that have not yet been researched.
Twenty PubMed records and eight trial records were screened. They concern generic deep-learning reconstruction or different modalities, vendors, protocols, and platforms; records naming GE TrueFidelity or DLIR do not identify the exact K230807 configuration and supported release, so all 28 are quarantined. The current discovery snapshot contains 20 PubMed and 8 ClinicalTrials.gov candidate records; its dated, count-matched human screening remains current. Unlinked candidates remain quarantined. Native FDA recall identifiers produced 0 postmarket candidate records; 0 have been reviewed (0 published, 0 rejected) and 0 remain unreviewed.
Candidate leads were screened against the exact product and tested version. Unlinked records remain quarantined.
Source classes: fda ai list, fda decision summary, acr ai central product, fda decision material, fda pma record, peer reviewed literature, clinical trial registry, reimbursement policy, fda device recall, pubmed, clinical trials, openfda device recall
Sources
Sources accessed through 2026-09-04.
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