The MediAI-BA is designed to view and quantify bone age from 2D Posterior Anterior (PA) view of left-hand radiographs using deep learning techniques to aid in the analysis of bone age assessment of patients between 2 to 18 years old for pediatric radiologists. The results should not be relied upon alone by pediatric radiologists to make diagnostic decisions. The images shall be with left hand and wrist fully visible within the field of view, and shall be without any major bone destruction, deformity, fracture, excessive motion, or other major artifacts. Limitations: - This software is not intended for use in patients with growth disorders caused by congenital anomalies (e.g., Down syndrome, Noonan syndrome, congenital adrenal hyperplasia, methylmalonic acidemia, skeletal dysplasia, chronic renal disease, or prior long-term steroid exposure), as these conditions may cause complex skeletal changes beyond bone maturation. - Images showing anatomical variations or notable abnormalities (e.g., bone tumors, sequelae of fractures, or congenital deformities) in the region required for interpretation are excluded from the intended use.
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
The MediAI-BA is designed to view and quantify bone age from 2D Posterior Anterior (PA) view of left-hand radiographs using deep learning techniques to aid in the analysis of bone age assessment of patients between 2 to 18 years old for pediatric radiologists. The results should not be relied upon alone by pediatric radiologists to make diagnostic decisions. The images shall be with left hand and wrist fully visible within the field of view, and shall be without any major bone destruction, deformity, fracture, excessive motion, or other major artifacts. Limitations: - This software is not intended for use in patients with growth disorders caused by congenital anomalies (e.g., Down syndrome, Noonan syndrome, congenital adrenal hyperplasia, methylmalonic acidemia, skeletal dysplasia, chronic renal disease, or prior long-term steroid exposure), as these conditions may cause complex skeletal changes beyond bone maturation. - Images showing anatomical variations or notable abnormalities (e.g., bone tumors, sequelae of fractures, or congenital deformities) in the region required for interpretation are excluded from the intended use.
Public source Exact FDA submission Checked 2026-09-01
Exact-submission indication text from the ACR AI Central model card. FDA labeling remains controlling.
XRAY images or data. Inclusion criteria: 2D Posterior Anterior (PA) view left-hand radiographs compliant with DICOM standard; left hand and wrist fully visible within the field of view; patients between 2 to 18 years old
Public source Exact FDA submission Checked 2026-09-01
Conservative normalization of explicit wording in an exact-submission source.
The AI model outputs a quantitative bone age assessment in years derived from deep learning analysis of left-hand PA radiographs. It also provides an optional heatmap visualization highlighting regions contributing to the AI model output (supplementary qualitative information only) and a confidence score graph illustrating the relative sharpness of the model's output distribution. A report is generated with the bone age result.
Public source Exact FDA submission Checked 2026-09-01
Clinical output reported in the exact-submission ACR model card.
Exclusion criteria: Patients with growth disorders caused by congenital anomalies, images with major bone destruction, deformity, fracture, excessive motion, or other major artifacts
Public source Exact FDA submission Checked 2026-09-01
Limitations and supported-acquisition details reported in the exact-submission ACR model card.
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
K250914
FDA source Exact FDA submission Checked 2026-08-31
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.
Needs research Exact FDA submission Checked 2026-08-31
Attach an exact-product deployment and data-flow source.
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.
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.
MediAI-BA regulatory performance study summary
Stand-Alone Performance · Pediatric
exact submission · Tested version: Exact product version not reported; regulatory study summarized for FDA submission K250914 · n=600 · 5 sites · Independence not established
K250914
ACR AI Central summarizes the regulatory study; consult the exact FDA materials before comparative use.
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
Verify deployment and data flow: Attach an exact-product deployment and data-flow source.
Verify security and privacy controls: 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.
Verify training: Training, onboarding, competency, and support commitments are commercial implementation details that require current vendor documentation.
Verify pricing and total cost: FDA submission materials do not establish current commercial pricing. Request the pricing unit, term, minimum commitment, implementation fees, and included support from the vendor.
Verify reimbursement and coding relevance: Determine whether any product-specific CPT/HCPCS pathway exists and separate it from billing for the underlying imaging service.
Verify local validation and lifecycle monitoring: Local acceptance testing, production monitoring, drift review, update control, and incident escalation require a current vendor and site-specific governance plan.
Verify recalls and postmarket safety signals: 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.
This audit distinguishes completed source review from fields that have not yet been researched.
Exact FDA record reviewedStatus
2026-09-04Last searched
17Fields 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
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