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Overjet Periapical Radiolucency Assist

Overjet, Inc • Radiology • 09/21/2023

510(k)IEC 62304 Class B
FDA Summary PDF

Device Purpose

The Overjet Periapical Radiolucency Assist is a computer-assisted detection software designed to aid dentists by automatically analyzing periapical radiographs to identify potential periapical radiolucencies in permanent teeth. This technology functions as a concurrent read tool, offering supplementary information to enhance the clinician's diagnostic capabilities for patients 12 years and older.

Summary

The Overjet Periapical Radiolucency (PARL) Assist is a radiological, automated, concurrent read computer-assisted detection software. Its primary purpose is to serve as an aid for professionally trained and licensed dentists in the detection of periapical radiolucencies on permanent teeth, as observed on periapical radiographs. The software is intended for use with patients aged 12 years or older and is designed to supplement, not replace, a dentist's comprehensive review and clinical judgment, which should incorporate other relevant patient information and history. The device operates by analyzing periapical radiographic images to identify potential areas of concern indicative of periapical radiolucencies. As a medical image analyzer, it provides an additional layer of support during the diagnostic process. The system is meant to be used concurrently by dentists, offering them insights during their image interpretation. It's important to note that the software is a tool to assist in identification and does not make definitive diagnoses.

AI Regulatory Concerns

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Jev reads the full FDA letter and returns calibrated concern probabilities per regulatory category. These are AI estimates, not regulatory advice.

Keywords

Periapical radiolucencyComputer-assisted detectionDental radiographsAutomated softwareConcurrent readDiagnostic aidDentistsPermanent teethMedical image analyzerRadiological software

Device Metadata

Submission Number
K231678
Company
Overjet, Inc
Panel
Radiology
Product Code
N/A
Data Type
Images
Clinical Function
Assessment
AI Function
Analysis
AI Subclass
detection

Relevant Clinical Questions

  • Q1. What specific algorithms or machine learning models does the Overjet Periapical Radiolucency Assist employ for detecting radiolucencies?; How does the software's performance vary with different qualities of periapical radiographs or different imaging equipment?; What was the sensitivity and specificity of the device in detecting periapical radiolucencies during its validation studies?; How does the software account for anatomical variations or mimics of periapical radiolucencies to minimize false positives?; What is the typical time saved or diagnostic accuracy improvement observed when dentists use this software as a concurrent read aid?

Risk Classification

ESL Analysis
FDA Device ClassII

FDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Authorized before §524B enforcement

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Cybersecurity Evidence

Powered by SBOMator™

Based on AI-generated device summaries, not the full FDA submission. Items not detected here may still be present in the complete submission package.

Cyber Score5/100
SBOM Evidence⚠ Not mentioned in summary
Cyber Risk Assessment⚠ Not mentioned in summary
Postmarket Plan⚠ Not mentioned in summary
§524B ApplicableNo

Supply Chain BOM Evidence

Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.

SBOMSoftware Bill of Materials
- Not detected
ML-BOMMachine Learning Bill of Materials(machine learning, algorithm)
✓ Detected
SaaSBOMSoftware-as-a-Service Bill of Materials
- Not detected
HBOMHardware Bill of Materials
- Not detected
CBOMCryptography Bill of Materials
- Not detected
VDR/VEXVulnerability Disclosure Report / Vulnerability Exploitability eXchange
- Not detected
OBOMOperations Bill of Materials
- Not detected

Analysis:

• Analysis is based on the AI-generated device summary, not the full FDA submission package. Click "Analyze Full FDA PDF" below to scan the actual submission document.

• Evidence of ML-BOM detected in AI-generated device summary.

• This device was authorized before §524B took effect. Cybersecurity evidence requirements were less prescriptive at the time.

• Postmarket cybersecurity monitoring plan not clearly documented in AI-generated device summary.

• Not detected in AI-generated device summary: SBOM, SaaSBOM, HBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.

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Overjet Periapical Radiolucency Assist - Overjet, Inc | ESL FDA AI Device Intelligence