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Vscan Air

GE Medical Systems Ultrasound and Primary Care Diagnostics • Radiology • 05/01/2025

510(k)IEC 62304 Class B§524B Cyber Device
FDA Summary PDF

Device Purpose

The Vscan Air is a portable, battery-operated diagnostic ultrasound imaging system that employs Ultrasonic Pulsed Doppler technology to visualize anatomical structures and fluid flow. Its innovative design incorporates wireless probes, deep learning algorithms for automated measurements, and AI-powered real-time guidance, enabling versatile application across various clinical environments.

Summary

On May 1, 2025, a determination was issued to GE Medical Systems Ultrasound and Primary Care Diagnostics concerning their Vscan Air device. This system, identified as an Ultrasonic Pulsed Doppler Imaging System, was found to be comparable in safety and effectiveness to devices already on the market. This finding permits the company to begin marketing the Vscan Air, subject to ongoing requirements for device registration, listing, good manufacturing practices, and proper labeling. The Vscan Air is a portable, battery-operated diagnostic ultrasound imaging system intended for use by qualified healthcare professionals. It consists of an application for Android or iOS devices and two wireless probes, enabling visualization and measurement of anatomical structures and fluid, including blood flow. The system supports various imaging modes and is designed for applications such as abdominal, cardiac, vascular, and interventional guidance in diverse clinical environments. This version introduces new features like an automated bladder volume measurement tool utilizing a deep learning algorithm, and compatibility with Caption AI for real-time cardiac imaging guidance. Non-clinical tests confirmed the system's compliance with applicable safety standards, covering aspects like acoustic output, biocompatibility, and electrical safety, and demonstrated the performance of its new functionalities.

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

Vscan AirUltrasound imagingDiagnostic systemPortableWireless probesDeep learning algorithmAutomated bladder volumeCaption AIRegulatory approvalClinical applications

Device Metadata

Submission Number
K250087
Company
GE Medical Systems Ultrasound and Primary Care Diagnostics
Panel
Radiology
Product Code
N/A
Data Type
N/A
Clinical Function
N/A
AI Function
N/A
AI Subclass
N/A

Relevant Clinical Questions

  • Q1. What are the specific clinical outcomes or accuracy metrics observed with the new automated bladder volume measurement tool compared to traditional methods?; How does the real-time cardiac imaging guidance provided by Caption AI improve diagnostic accuracy or procedural efficiency in a clinical setting?; What is the long-term battery life and durability of the wireless probes, particularly in high-volume clinical environments?; Are there any limitations or contraindications for the use of the Vscan Air across its various imaging modes and intended clinical applications?; What post-market surveillance plans are in place to monitor the performance and safety of the Vscan Air, especially concerning its AI-driven features?

Risk Classification

ESL Analysis
FDA Device ClassII

FDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Qualifies as a cyber device under §524B (post-Dec 2023, networked)

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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 Score30/100
SBOM Evidence⚠ Not in summary - likely in full submission per §524B
Cyber Risk Assessment⚠ Not in summary - likely in full submission per §524B
Postmarket Plan✓ Detected in Summary
§524B ApplicableYes

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(deep learning, algorithm, labeling)
✓ Detected
SaaSBOMSoftware-as-a-Service Bill of Materials(wireless)
✓ 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(environment)
✓ 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, SaaSBOM, OBOM detected in AI-generated device summary.

• SBOM not mentioned in AI-generated device summary. Under §524B (effective Oct 2023), cyber devices must provide a SBOM.

• Cybersecurity risk assessment not referenced in AI-generated device summary. FDA cybersecurity guidance (2023) expects this for cyber devices.

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

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Vscan Air - GE Medical Systems Ultrasound and Primary Care Diagnostics | ESL FDA AI Device Intelligence