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Caption Guidance

Caption Health • Radiology • 04/16/2020

510(k)IEC 62304 Class B
FDA Summary PDF

Device Purpose

Caption Guidance is a software accessory utilizing artificial intelligence to assist medical professionals in the acquisition of standard adult two-dimensional transthoracic echocardiography images by providing real-time, expert-emulating guidance. Its methodology incorporates features like a quality meter, prescriptive transducer directions, and automated clip capture to enhance image quality and usability, aiming to improve the consistency of cardiac ultrasound examinations.

Summary

The Caption Guidance software is an artificial intelligence-driven system designed to assist medical professionals in acquiring cardiac ultrasound images. It functions as an accessory to compatible general-purpose diagnostic ultrasound systems and is indicated for use in two-dimensional transthoracic echocardiography (2D-TTE) for adult patients, covering ten standard views such as Parasternal Long-Axis and Apical 4-Chamber. The software emulates the expertise of sonographers by providing real-time guidance to help users obtain anatomically correct images and achieve diagnostic quality. Key features of Caption Guidance include a Quality Meter for real-time feedback on image quality, Prescriptive Guidance that directs transducer manipulation, an Auto-Capture function to automatically record diagnostic clips, and a Save Best Clip feature for retrospective saving. This updated version incorporates enhancements for increased usability and performance, including additional prescriptive guidance, more user information via the UI, optimized quality meter and auto-capture, and customizable scanning protocols. The device underwent extensive testing, including software verification and validation, algorithm performance assessment for auto-capture and prescriptive guidance, and human factors testing with both inexperienced and experienced users, which indicated optimized usability and no use errors associated with critical tasks.

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

Caption GuidanceCardiac ultrasoundArtificial intelligenceEchocardiographyImage acquisitionReal-time guidanceQuality MeterPrescriptive GuidanceAuto-CaptureTransthoracic echocardiography

Device Metadata

Submission Number
K200755
Company
Caption Health
Panel
Radiology
Product Code
N/A
Data Type
Images
Clinical Function
Assessment
AI Function
Generation
AI Subclass
acquisition guidance

Relevant Clinical Questions

  • Q1. How does the 'Quality Meter' algorithm define and quantify 'diagnostic quality' for different echocardiographic views, and what are its sensitivity and specificity?; What were the quantitative performance improvements of the modified Auto-Capture feature compared to the predicate device or manual capture by experienced sonographers?; How does the prescriptive guidance adapt its recommendations for users with varying levels of prior sonography experience, as suggested by the human factors testing cohorts?; What specific 'additional prescriptive guidance' and 'information for users via the UI' were implemented in this version, and how did they contribute to the observed optimization of usability?; Beyond the listed standard views, what is the potential for the Caption Guidance AI to be trained for or assist with more specialized echocardiographic assessments or pediatric patients?

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(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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Caption Guidance - Caption Health | ESL FDA AI Device Intelligence