LOGIQ E10s, LOGIQ Fortis
GE Medical Systems Ultrasound and Primary Care Diagnostic, • Radiology • 11/07/2023
Device Purpose
The LOGIQ E10s and LOGIQ Fortis represent an evolution in diagnostic ultrasound technology, offering comprehensive imaging solutions with expanded clinical applications, including intraoperative abdominal procedures, and integration of new specialized probes. These systems leverage artificial intelligence through features like automated renal measurement and view/preset assistance, aiming to improve diagnostic accuracy, consistency, and operational efficiency in diverse medical imaging environments.
Summary
The LOGIQ E10s and LOGIQ Fortis are versatile diagnostic ultrasound systems intended for comprehensive imaging by trained healthcare professionals in clinical settings. These systems, built on mobile consoles with high-resolution displays and intuitive user interfaces, facilitate digital image acquisition, processing, and analysis across a broad spectrum of clinical applications. These applications span fetal/obstetrics, abdominal (including renal and gynecological), pediatric, small organs, cephalic (neonatal and adult), cardiac, peripheral vascular, musculoskeletal, and urological imaging, as well as transrectal, transvaginal, and transesophageal procedures. A significant enhancement is the introduction of intraoperative abdominal imaging capabilities. The systems support a comprehensive suite of imaging modes, including B-mode, M-mode, various Doppler modalities (Pulsed Wave, Continuous Wave, Color, Power), Harmonic Imaging, 3D/4D Imaging, Elastography (including Shear Wave), and Attenuation Imaging. Technologically, the LOGIQ E10s and LOGIQ Fortis employ established pulsed Doppler and pulsed echo ultrasound principles for diagnostic imaging and fluid flow analysis. This iteration introduces notable advancements, including compatibility with new specialized ultrasound probes such as the L4-20t-D, P8D, L3-9i-D, and the Vscan Air CL wireless probe, complemented by hardware updates like an integrated subwoofer/sound exciter. Software enhancements are prominent, featuring several AI-powered tools: the Auto Renal Measure Assistant, validated to provide high accuracy (e.g., 96.45% for longitudinal kidney length) on clinical datasets from 30 patients; the Auto Abdominal Color Assistant and Auto Preset Assistant, both designed for automated anatomical view and imaging preset suggestions with expected success rates exceeding 80%, based on testing with over 50 and 110 patients respectively. Additional software features like Raw Data Streaming, App Launchpad, and Auto EF2.0/AFI 2.0 aim to further improve diagnostic efficiency and data utility. The systems' materials and acoustic output levels have been evaluated for safety.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. How does the "Raw Data Streaming" feature specifically facilitate advanced research or custom algorithm development compared to standard DICOM export, and what are its data format and accessibility specifications?; What are the key algorithmic differences and performance variations of the AI features (Auto Renal Measure, Auto Abdominal Color, Auto Preset Assistants) when applied across diverse patient demographics (e.g., varying BMI, prior abdominal surgeries) not explicitly detailed in the summary AI testing data?; What is the quantifiable impact on examination time and inter-operator variability for the "Auto Renal Measure Assistant" in routine clinical use, beyond the provided accuracy metrics from the validation study?; Considering the addition of intraoperative abdominal imaging and new probes, what specific surgical procedures are best supported by these enhancements, and what is the learning curve for sonographers/surgeons to effectively utilize these new capabilities in the OR setting?; How do the "App Launchpad" and "Vscan Air CL Support" integrate to improve point-of-care ultrasound (POCUS) workflows, particularly regarding data transfer, image review, and EMR integration when using the handheld Vscan Air CL in conjunction with the main console?
Risk Classification
ESL AnalysisFDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Authorized before §524B enforcement
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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.
Supply Chain BOM Evidence
Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.
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, HBOM, OBOM 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, CBOM, VDR/VEX. These may be present in the full FDA submission.
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