FDA-cleared profile

RemedyLogic AI MRI Lumbar Spine Reader

Remedy Logic Inc.

RemedyLogic AI MRI Lumbar Spine Reader (“RAI”) is an image post-processing and measurement software tool that provides quantitative spine measurements from previously-acquired DICOM lumbar spine Magnetic Resonance (MR) images for users’ review, analysis, and interpretation. It provides the following functionality to assist users in visualizing, measuring and documenting measurements: • Feature segmentation; • Feature measurement; and • Exportation of measurement results in DICOM Structured Report and a downloadable .docx file for users to review and to use full or partial list of software-generated measurements to prepare their own radiology report. RAI does not produce or recommend any type of medical diagnosis or treatment. Instead, it simply helps users to more easily identify and measure features in lumbar MR images and compile their own reports. The user is responsible for reviewing, verifying, and correcting, if necessary, the software-generated segmentations and measurements, leveraging useful software output and using their medical judgment and discretion to make diagnostic or treatment decisions. The device is intended to be used only by radiologists, neuro- and spine-surgeons in hospitals and other medical institutions. Only T2 MRI images in DICOM format, acquired from lumbar spine exams of patients aged 18 and older, are considered to be valid input. RAI does not support DICOM images of patients that are pregnant, undergo MRI scan with contrast media, or have post-operational complications, scoliosis, tumors, infections, and/or fractures.

Evidence status: each field shows source quality, applicability, and review date. Research pending, information not established in reviewed sources, and vendor documentation pending are distinct outcomes.

Clinical fit

What this tool is for

Start with the authorized purpose, then verify how it fits your service line and reading workflow.

Exact purpose
RemedyLogic AI MRI Lumbar Spine Reader (“RAI”) is an image post-processing and measurement software tool that provides quantitative spine measurements from previously-acquired DICOM lumbar spine Magnetic Resonance (MR) images for users’ review, analysis, and interpretation. It provides the following functionality to assist users in visualizing, measuring and documenting measurements: • Feature segmentation; • Feature measurement; and • Exportation of measurement results in DICOM Structured Report and a downloadable .docx file for users to review and to use full or partial list of software-generated measurements to prepare their own radiology report. RAI does not produce or recommend any type of medical diagnosis or treatment. Instead, it simply helps users to more easily identify and measure features in lumbar MR images and compile their own reports. The user is responsible for reviewing, verifying, and correcting, if necessary, the software-generated segmentations and measurements, leveraging useful software output and using their medical judgment and discretion to make diagnostic or treatment decisions. The device is intended to be used only by radiologists, neuro- and spine-surgeons in hospitals and other medical institutions. Only T2 MRI images in DICOM format, acquired from lumbar spine exams of patients aged 18 and older, are considered to be valid input. RAI does not support DICOM images of patients that are pregnant, undergo MRI scan with contrast media, or have post-operational complications, scoliosis, tumors, infections, and/or fractures.
Public source Exact FDA submission Checked 2026-09-01

Exact-submission indication text from the ACR AI Central model card. FDA labeling remains controlling.

Intended users
Radiologists, neuro- and spine-surgeons in hospitals and other medical institutions.
Public source Exact FDA submission Checked 2026-09-01

Intended-user text reported in the exact-submission ACR model card.

Care setting and population
Adult
Public source Exact FDA submission Checked 2026-09-01

Patient-population text reported in the exact-submission ACR model card; institutional setting may still require vendor confirmation.

Workflow role
Segmentation or contouring
Public source Exact FDA submission Checked 2026-09-01

Conservative normalization of explicit wording in an exact-submission source.

Required input
MR images or data. Inclusion criteria: T2 MRI images in DICOM format from lumbar spine exams; patients aged 18 and older.
Public source Exact FDA submission Checked 2026-09-01

Conservative normalization of explicit wording in an exact-submission source.

Output and human action
Feature segmentation of anatomical structures (borders/contours); quantitative measurements (areal, angular, linear); exportation in DICOM Structured Report and .docx file. Does not produce or recommend any medical diagnosis or treatment. User reviews, verifies, and corrects outputs before including in their own radiology report.
Public source Exact FDA submission Checked 2026-09-01

Clinical output reported in the exact-submission ACR model card.

Limitations
Exclusion criteria: Patients who are pregnant; patients undergoing MRI scan with contrast media; patients with post-operational complications, scoliosis, tumors, infections, and/or fractures.
Public source Exact FDA submission Checked 2026-09-01

Limitations and supported-acquisition details reported in the exact-submission ACR model card.

Regulatory identity

FDA record and catalog context

The FDA listing establishes the regulatory identity. It does not by itself establish local workflow fit, pricing, security, or performance in your environment.

FDA submission
K241108
FDA source Exact FDA submission Checked 2026-08-31
Modality
MRI
Public source Exact FDA submission Checked 2026-09-01

Imaging modality reported in the exact-submission ACR AI Central model card.

Anatomy
Spine
Public source Exact FDA submission Checked 2026-09-01

Anatomy normalized from explicit exact-submission ACR model-card wording.

Clearance type
510(k)
FDA source Exact FDA submission Checked 2026-08-31
Decision date
2024-10-30
FDA source Exact FDA submission Checked 2026-08-31
FDA status
FDA-cleared
FDA source Exact FDA submission Checked 2026-08-31

Implementation

Questions for IT, informatics, and operations

Use these fields to structure a vendor demo, security review, and implementation estimate.

Integration
The exact-submission ACR model card explicitly references DICOM in the described input, output, or workflow; exact interfaces, versions, and local compatibility require confirmation.
Public source Exact FDA submission Checked 2026-09-01

Interoperability terms explicitly reported in the exact-submission ACR model card; interface versions and local compatibility still require confirmation.

Deployment and data flow
On-cloud
Public source Exact FDA submission Checked 2026-08-13

Deployment category preserved from the prior exact-submission review; hosting region, data flow, and current commercial configuration still require vendor confirmation.

Security and privacy
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-08-13

FDA authorization does not establish the current commercial security posture. Request data-flow diagrams, hosting and retention details, access controls, audit logging, attestations, and incident-response documentation.

Training and support
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-08-13

Training, onboarding, competency, and support commitments are commercial implementation details that require current vendor documentation.

Monitoring and change control
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-08-13

Local acceptance testing, production monitoring, drift review, update control, and incident escalation require a current vendor and site-specific governance plan.

Input or output interoperability

DICOM is explicitly referenced in the described input, output, or workflow.

exact submission · checked 2026-09-01

The model card does not establish every supported DICOM object, transfer method, or local interface.

Evidence

Performance evidence

Metrics are shown only when they are tied to a source, endpoint, population, and tested product version.

Evidence summary
Study type: Stand-Alone Performance. Cases: 200. Sites: 3. Reference standard: Interpretation by Reviewing Clinician
Public source Exact FDA submission Checked 2026-09-01

Structured study metadata from the exact-submission ACR model card; this is not an independent evidence synthesis.

Reported sensitivity
Research pending
Needs research Exact FDA submission Checked 2026-08-31

This field has not been curated yet.

Reported specificity
Research pending
Needs research Exact FDA submission Checked 2026-08-31

This field has not been curated yet.

No contextualized exact-version metric has completed evidence review. Regulatory-document values, when available, are shown above with their limitations.

RemedyLogic AI MRI Lumbar Spine Reader regulatory performance study summary

Stand-Alone Performance · Adult

exact submission · Tested version: Exact product version not reported; regulatory study summarized for FDA submission K241108 · n=200 · 3 sites · Independence not established

K241108

ACR AI Central summarizes the regulatory study; consult the exact FDA materials before comparative use.

Economics and lifecycle

Budget and ongoing governance

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 2026-08-13

FDA submission materials do not establish current commercial pricing. Request the pricing unit, term, minimum commitment, implementation fees, and included support from the vendor.

Reimbursement and coding
Research pending
Needs research Exact FDA submission Checked 2026-08-31

Determine whether any product-specific CPT/HCPCS pathway exists and separate it from billing for the underlying imaging service.

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 2026-09-04

No native submission-identifier match was found in the checked openFDA radiology recall snapshot. Product-name, manufacturer, and adverse-event searches remain necessary; this does not establish that no recall or safety report exists.

Buyer worksheet

Open questions to take to the vendor

Open evaluation checklist

Research record

What has been checked

This audit distinguishes completed source review from fields that have not yet been researched.

Exact FDA record reviewedStatus
2026-09-04Last searched
18Fields reviewed
6Source classes checked
0Unreviewed PubMed leads
0Unreviewed trial leads
0Unreviewed FDA recall leads

Exact-submission ACR model-card fields were normalized under the current provenance rules; vendor and independent-study confirmation remain distinct. Automated exact-name discovery found 0 PubMed and 0 ClinicalTrials.gov candidate records. Candidates require human product and version matching; zero candidates is not evidence that no studies exist. Native FDA recall identifiers produced 0 postmarket candidate records; 0 have been reviewed (0 published, 0 rejected) and 0 remain unreviewed.

Candidate leads remain unpublished until a human confirms the exact product and tested version.

Source classes: fda ai list, fda decision summary, acr ai central product, pubmed, clinical trials, openfda device recall

Sources

Source ledger

Sources accessed through 2026-09-02.

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