Diagnocat software is a radiological, automated, concurrent read computer-assisted detection software intended to aid in the detection of periapical radiolucency on permanent teeth captured on maxillofacial Cone Beam CT images, using scans that were previously acquired for clinically justified purposes independent of Diagnocat. Diagnocat may be used only when a dental professional has independently determined that CBCT imaging is necessary for further evaluation of the patient. The device provides additional aid for the dental professional to use in their identification of periapical radiolucency. The device is not intended as a replacement for a complete dental professional's review or their clinical judgment that considers other relevant information from the patient or other images or patient history. The system is to be used by professionally trained and licensed dental professionals with the appropriate knowledge and training to interpret maxillofacial CBCT images, including at least two years of clinical experience reading and assessing CBCT scans. Diagnocat is indicated for use by dental professionals for the second-read of CBCT radiographs of permanent teeth in patients 22 years of age or older.
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
Diagnocat software is a radiological, automated, concurrent read computer-assisted detection software intended to aid in the detection of periapical radiolucency on permanent teeth captured on maxillofacial Cone Beam CT images, using scans that were previously acquired for clinically justified purposes independent of Diagnocat. Diagnocat may be used only when a dental professional has independently determined that CBCT imaging is necessary for further evaluation of the patient. The device provides additional aid for the dental professional to use in their identification of periapical radiolucency. The device is not intended as a replacement for a complete dental professional's review or their clinical judgment that considers other relevant information from the patient or other images or patient history. The system is to be used by professionally trained and licensed dental professionals with the appropriate knowledge and training to interpret maxillofacial CBCT images, including at least two years of clinical experience reading and assessing CBCT scans. Diagnocat is indicated for use by dental professionals for the second-read of CBCT radiographs of permanent teeth in patients 22 years of age or older.
Public source Exact FDA submission Checked 2026-09-01
Exact-submission indication text from the ACR AI Central model card. FDA labeling remains controlling.
Professionally trained and licensed dental professionals with appropriate knowledge and training to interpret maxillofacial CBCT images, including at least two years of clinical experience reading and assessing CBCT scans
Public source Exact FDA submission Checked 2026-09-01
Intended-user text reported in the exact-submission ACR model card.
CT images or data. Inclusion criteria: Maxillofacial Cone Beam CT (CBCT) images of permanent teeth in patients 22 years of age or older, previously acquired for clinically justified purposes
Public source Exact FDA submission Checked 2026-09-01
Conservative normalization of explicit wording in an exact-submission source.
The AI model outputs: (1) Panoramic reconstruction visualization of the CBCT scan; (2) Tooth detection, numbering, and segmentation; (3) Detection and localization of periapical radiolucency per tooth with segmentation and heat mapping of suspected periapical radiolucency regions. The device provides a concurrent read CADe output to aid dental professionals in identifying periapical radiolucency.
Public source Exact FDA submission Checked 2026-09-01
Clinical output 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
K252934
FDA source Exact FDA submission Checked 2026-08-31
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.
Evidence
Performance evidence
Metrics are shown only when they are tied to a source, endpoint, population, and tested product version.
No contextualized exact-version metric has completed evidence review. Regulatory-document values, when available, are shown above with their limitations.
Diagnocat regulatory performance study summary
Stand-alone performance and reader study (ACR AI Central category) · Adult
exact submission · Tested version: Exact product version not reported; regulatory study summarized for FDA submission K252934 · n=100 · Independence not established
K252934
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 2026-09-02
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.
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.
Automated sources checkedStatus
2026-09-02Last searched
17Fields reviewed
5Source classes checked
20Unreviewed PubMed leads
1Unreviewed 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 20 PubMed and 1 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, acr ai central product, pubmed, clinical trials, openfda device recall
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