Evidence status: each field states its source quality, applicability, and review date. Research pending, information not established, and vendor documentation pending remain distinct outcomes.
Product overview
Start with the essentials
Authorized purpose: MRI image enhancement through noise reduction and sharpening for clinical image review.
Overview status: Source-reviewed overview
What does this software do?Authorized purpose: MRI image enhancement through noise reduction and sharpening for clinical image review.
Which images or clinical context are in scope?Modality: MRI Anatomy or clinical context: Whole Body Input: Standard-of-care or accelerated DICOM MRI, including 2D/3D, contrast and noncontrast images of all body parts across the described protocols and 0.25-3 T field strengths.
Who uses it?Intended users: Radiologists and technologists in imaging centers, clinics or hospitals.
What does the software produce?Output: Noise-reduced, sharpened DICOM images sent to a configured PACS, MR device or workstation; enhanced and original images coexist.
What is its most important limitation?Key limitation: Produces enhanced images, not diagnostic findings or disease classifications. Radiologists retain responsibility for interpreting the images.
Clinical takeaway
Clinical role: MRI image enhancement through noise reduction and sharpening for clinical image review.
Evidence takeaway
Evidence from the reviewed source record: The regulatory summary includes a 97-sample standalone comparison and a separate 410-image reader study assessing enhancement. A later vendor-authored study evaluates downstream classification using enhanced images and is contextual only.
Clinical details
What this tool is for
Start with the authorized purpose, then verify how it fits your service line and reading workflow.
Exact purpose
MRI image enhancement through noise reduction and sharpening for clinical image review.
Standard-of-care or accelerated DICOM MRI, including 2D/3D, contrast and noncontrast images of all body parts across the described protocols and 0.25-3 T field strengths.
The FDA listing establishes the regulatory identity. It does not by itself establish local workflow fit, pricing, security, or performance in your environment.
Use these fields to structure a vendor demo, security review, and implementation estimate.
Integration
Background processing without an end-user image-viewing UI; configuration through files, environment settings or series descriptions. DICOM destinations are specified by AE title and IP address.
Baseline category retained; the summary describes deployment in a virtual machine with Linux and off-the-shelf host hardware. Current hosting options require separate confirmation.
Metrics are shown only when they are tied to a source, endpoint, population, and tested product version. Candidate literature without exact product and version linkage is not shown as product evidence.
Evidence summary
The regulatory summary includes a 97-sample standalone comparison and a separate 410-image reader study assessing enhancement. A later vendor-authored study evaluates downstream classification using enhanced images and is contextual only.
FDA source
Exact FDA submission
Checked 2026-09-05
Baseline study counts retained with separate study units; no pooled unique-patient total is asserted.
No exact-release disease-detection sensitivity is established by the reviewed enhancement studies.
Reported specificity
Not established in reviewed sources
Reviewed sources checked
Exact FDA submission
Checked 2026-09-05
No exact-release disease-detection specificity is established by the reviewed enhancement studies.
No contextualized exact-version metric has completed evidence review. Regulatory-document values, when available, are shown above with their limitations.
Deep Learning-Based Enhancement of Already Diagnostic-Quality MRI for Alzheimer's Disease Classification: Effects on Model Performance and Training Data Requirements
DesignRetrospective downstream machine-learning classification study
Population2293 ADNI brain MRI scans split into training, validation and internal testing; 270 NACC scans for external testing, 1.5 T 3D T1 gradient echo
Scopeproduct family
Tested versionSubtleHD; software release not established in the reviewed abstract
Samplen=2293
IndependenceSponsor or vendor study
PMID:42593101 · DOI:10.1002/jmri.70507
Several authors are affiliated with Subtle Medical. ResNet34/DenseNet121, not SubtleHD itself, performed Alzheimer/MCI/normal classification. No diagnostic indication or numeric accuracy is transferred to K243250.
These are common procurement questions; unknown values remain visible until a source supports them.
Pricing and total cost
Vendor documentation pending
Vendor confirmation
Exact FDA submission
Checked 2026-09-05
Current marketing offers a demo and operational-benefit examples, not a verified 1.x license/implementation price.
Reimbursement and coding
Research pending
Needs research
Exact FDA submission
Checked 2026-09-05
No applicable payer policy reviewed; throughput marketing does not establish separate reimbursement.
Safety and lifecycle
Postmarket record
Recall and adverse-event records are shown only after product matching. Adverse-event reports do not establish incidence or causality.
Postmarket safety review
Not established in reviewed sources
Reviewed sources checked
Exact FDA submission
Checked 2026-09-06
Downloaded exact-ID recall packet contained zero records; this limited result does not establish absence of recall or safety information.
Buyer worksheet
Open questions to take to the vendor
Verify security and privacy controls: No scoped dated 1.x security certification, current host-patching agreement or site data-flow assessment was established.
Verify training: Version-specific onboarding content, competency assessment and training costs were not established.
Verify pricing and total cost: Current marketing offers a demo and operational-benefit examples, not a verified 1.x license/implementation price.
Verify reimbursement and coding relevance: No applicable payer policy reviewed; throughput marketing does not establish separate reimbursement.
Verify local validation and lifecycle monitoring: Current clinical-quality monitoring and upgrade acceptance procedures require confirmation.
Verify recalls and postmarket safety signals: Downloaded exact-ID recall packet contained zero records; this limited result does not establish absence of recall or safety information.
This audit distinguishes completed source review from fields that have not yet been researched.
Human reviewedStatus
2026-09-05Last searched
20Fields reviewed
11Source classes checked
2Screened PubMed leads
0Screened trial leads
0Unreviewed FDA recall leads
42608377 is editorial metadata, excluded as primary performance evidence. 42593101 abstract reviewed and retained as vendor-associated family study of downstream classification; exact release unverified. The current discovery snapshot contains 2 PubMed and 0 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, vendor product page, peer reviewed literature, stored candidate metadata, literature index, trial registry, pubmed, clinical trials, openfda device recall
Sources & history
How this profile was documented
Open the ledger for source dates, scope, and research-record updates.
View source ledger and history8 sources - 3 history items
LungMaps processes one or more 2D lung MRI time series to support radiologist interpretation of ventilation and perfusion maps; it is not the sole source for diagnosis.
Vantage Fortian and Orian 1.5T produce diagnostic MR images of the head and body, including labeled noncontrast angiography, for trained technologists and physician interpretation.