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Voluson Expert 22, Voluson Expert 20, Voluson Expert 18

GE Medical Systems Ultrasound and Primary Care Diagnostics, • Radiology • 06/06/2022

510(k)IEC 62304 Class B
FDA Summary PDF

Device Purpose

The Voluson Expert series (18, 20, 22) represents an advancement in diagnostic ultrasound systems, specializing in OB/GYN and general radiology through high-performance 3D/4D imaging and diverse transducer technology. These systems integrate novel AI-driven software features like SonoPelvicFloor, SonoLyst, and Fetal HS, aiming to improve image analysis, diagnostic support, and workflow efficiency in various clinical applications.

Summary

The Voluson Expert series (models 18, 20, and 22) are advanced Track 3 ultrasound systems designed primarily for general radiology and specialized obstetric/gynecological applications, featuring real-time 3D/4D acquisition capabilities. These mobile console systems, equipped with color displays and touch panels, utilize a range of transducers including linear, curved linear, and matrix phased arrays for high-performance imaging across diverse clinical scenarios. The core technology relies on established ultrasonic principles, offering modes such as B-mode, M-mode, Doppler (Pulsed, Continuous Wave, Color, Power), Harmonic Imaging, 3D/4D imaging, Elastography, and Shear Wave Elastography. The systems are intended for use by qualified healthcare professionals in hospital or medical clinic settings for a wide array of diagnostic applications, including fetal/OB, abdominal, pediatric, small organs, cephalic, cardiac, musculoskeletal, vascular, transvaginal, and transrectal imaging. The Voluson Expert series introduces several technological advancements, including a new RIC10-D probe and differentiated model capabilities, with the Expert 22 supporting the 4D electronic probe eM6CG3. Key enhancements involve the integration of Artificial Intelligence (AI) software features aimed at improving workflow and diagnostic performance. These include SonoPelvicFloor for automated pelvic floor plane alignment and measurements, SonoLyst for AI-assisted sorting and grading of fetal anatomical images, and Fetal HS for suggesting optimal fetal heart views (4CH, 3VT) and heart angle measurements. Additional software improvements focus on shadow reduction, image adaptation (Adapt), and fetal heart rate (Sono FHR). Non-clinical testing confirmed the devices' safety (acoustic, biocompatibility, electrical, mechanical) and the AI features demonstrated high success/accuracy rates (typically >70-80%) on diverse datasets, validated by sonographers/clinicians.

AI Regulatory Concerns

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Keywords

Ultrasound3D/4D ImagingObstetrics/Gynecology (OB/GYN)Artificial Intelligence (AI)SonoPelvicFloorSonoLystFetal Heart (Fetal HS)Diagnostic ImagingTransducer TechnologyWorkflow Optimization

Device Metadata

Submission Number
K220358
Company
GE Medical Systems Ultrasound and Primary Care Diagnostics,
Panel
Radiology
Product Code
N/A
Data Type
Images
Clinical Function
Assessment
AI Function
Analysis
AI Subclass
quantification/feature localization

Relevant Clinical Questions

  • Q1. How does the performance of the new AI features (SonoPelvicFloor, SonoLyst, Fetal HS) compare in real-world clinical settings with diverse patient populations and varying operator skill levels, beyond the described test datasets?; What is the specific impact of the 'Shadow Reduction' and 'Adapt' software features on image quality and diagnostic confidence across different tissue types and imaging depths?; Could the AI algorithms, particularly SonoLyst, be trained or adapted to recognize and flag potential fetal anomalies, rather than just sorting and grading standard views?; What are the quantifiable improvements in examination time or diagnostic accuracy attributable to the workflow enhancements from SonoPelvicFloor and SonoLyst compared to traditional manual methods?; How does the new RIC10-D transducer's 'incremental improvement in technology' translate to tangible benefits in image resolution, penetration, or specific clinical applications compared to its predicate, the RIC5-9-D?

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 Score20/100
SBOM Evidence⚠ Not mentioned in summary
Cyber Risk Assessment⚠ Not mentioned in summary
Postmarket Plan✓ Detected 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(algorithm, dataset)
✓ 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.

• 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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Voluson Expert 22, Voluson Expert 20, Voluson Expert 18 - GE Medical Systems Ultrasound and Primary Care Diagnostics, | ESL FDA AI Device Intelligence