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Triton System

GAUSS SURGICAL INC. • General Hospital • 08/05/2016

510(k)IEC 62304 Class B
FDA Summary PDF

Device Purpose

The Triton System is a mobile medical application employing image processing technology on an iPad to provide clinicians with quantitative estimates of blood loss from surgical sponges and aid in sponge management. Its methodology involves capturing sponge images, analyzing them for hemoglobin content to calculate blood volume, and integrating data from various sources to support perioperative decision-making and patient safety.

Summary

The Triton System is a software application designed as an adjunctive tool for surgical teams to estimate external blood loss and manage surgical sponges. Operating on an Apple iPad® tablet, it utilizes image processing technology to analyze images of used surgical sponges, thereby estimating the hemoglobin (Hb) mass contained on them. Based on this Hb mass and a user-inputted patient serum Hb value, the system calculates an estimated blood volume lost on the sponges. Additionally, the Triton System assists in counting surgical sponges, provides a visual record of sponge images, and can record user-entered weights of used sponges to estimate fluid volume. This iteration of the Triton System integrates blood loss estimations from both sponges and canisters (from a reference device) onto a single display for comprehensive monitoring. It offers an enhanced method for users to manually input estimated blood loss (EBL) for situations like oversaturated sponges, considering specific sponge fluid capacities, and includes a read-only "View-Only Mode" for monitoring EBL events. The system's functionality extends to supporting additional validated sponge types, including non-square ones, and a new Bluetooth foot pedal. Its scientific basis relies on image processing algorithms to quantify hemoglobin from sponge images, with performance validated under various conditions and its software displaying cumulative error estimates based on methods like Bland-Altman analysis.

AI Regulatory Concerns

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Keywords

Blood Loss EstimationSurgical SpongesImage ProcessingHemoglobin MeasurementMobile Medical ApplicationiPad ApplicationSponge ManagementPerioperative CareQuantitative Blood Loss (QBL)Hemorrhage Management

Device Metadata

Submission Number
K160338
Company
GAUSS SURGICAL INC.
Panel
General Hospital
Product Code
N/A
Data Type
Images
Clinical Function
Intervention
AI Function
Analysis
AI Subclass
quantification/feature localization

Relevant Clinical Questions

  • Q1. How does the Triton System's image processing algorithm differentiate between blood and other fluids (e.g., saline irrigation) on surgical sponges to ensure accurate hemoglobin mass estimation?; What is the range of hemoglobin concentrations and blood volume absorption for which the Triton System has been validated, and what is its reported bias and variance compared to gold-standard measurement methods across this range?; How does the system account for variations in lighting conditions within the operating room environment when capturing and analyzing sponge images?; What specific human factors studies were conducted to validate the usability and design of the iPad interface, especially in high-stress surgical environments, and how were potential use errors mitigated?; Can the Triton System integrate with electronic health record (EHR) systems for automated data entry of estimated blood loss and sponge counts, and what data security measures are in place for the mobile application?

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 Score50/100
SBOM Evidence⚠ Not mentioned in summary
Cyber Risk Assessment✓ Detected 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, bias)
✓ Detected
SaaSBOMSoftware-as-a-Service Bill of Materials(bluetooth)
✓ 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.

• 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, HBOM, CBOM, VDR/VEX. These may be present in the full FDA submission.

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Triton System - GAUSS SURGICAL INC. | ESL FDA AI Device Intelligence