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Tyto Insights for Rhonchi Detection

Tyto Care Ltd. • Anesthesiology • 04/07/2025

510(k)IEC 62304 Class C
FDA Summary PDF

Device Purpose

The Tyto Insights for Rhonchi Detection is an AI-enabled software system designed for prescription use to assist healthcare professionals in identifying suspected rhonchi by analyzing acoustic signals from Tyto Stethoscope recordings. Its methodology involves an AI model that processes lung sound data, which has been clinically validated to be non-inferior to human readers, enabling its use as a Class II medical product.

Summary

On April 7, 2025, Tyto Care Ltd. received a determination from the U.S. Food & Drug Administration concerning their product, Tyto Insights for Rhonchi Detection. This artificial intelligence (AI)-enabled software system is intended for prescription use, aiding in the evaluation of lung sounds in adults and pediatric patients aged two years and older. It automatically analyzes acoustic signals from compatible Tyto Stethoscope recordings to identify the suspected presence of "Rhonchi," an abnormal lung sound. The system's output is designed to be interpreted by a licensed healthcare professional, who must integrate the results with other patient data.Following a comprehensive review, the product was deemed substantially equivalent to a previously marketed device, enabling its availability for market. Classified as a Class II medical product, it is subject to standard regulatory oversight, including requirements for annual registration, product listing, and adherence to good manufacturing practices. A Predetermined Change Control Plan was also reviewed and accepted, allowing certain software modifications—such as re-training the AI model or incorporating new compatible input sources—without requiring a new review, provided these changes do not significantly impact safety or effectiveness. Clinical validation studies confirmed the device's performance in detecting rhonchi, establishing its non-inferiority compared to clinical readers, and supporting its safety and effectiveness for its intended application.

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

Tyto InsightsRhonchi DetectionAI-enabled softwareLung soundsTyto StethoscopeFDASubstantially equivalentClass II medical productClinical validationPredetermined Change Control Plan

Device Metadata

Submission Number
K243567
Company
Tyto Care Ltd.
Panel
Anesthesiology
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 were the specific sensitivity and specificity results from the clinical validation studies that supported the device's non-inferiority?; How does the AI model differentiate rhonchi from other similar lung sounds, and what are its known limitations in complex or atypical cases?; What types of additional patient data are crucial for healthcare professionals to integrate with the Tyto Insights output to ensure accurate clinical interpretation?; What specific criteria or thresholds will be used under the Predetermined Change Control Plan to determine if software modifications significantly impact safety or effectiveness, thus requiring new FDA review?; Are there plans to expand the Tyto Insights system to detect other specific abnormal lung sounds beyond rhonchi, or to incorporate additional diagnostic parameters?

Risk Classification

ESL Analysis
FDA Device ClassII

FDA Class II via 510(k) pathway; IEC 62304 Class C (software safety classification); Post-§524B but no clear network capability detected

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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 Score0/100
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⚠ Not in summary - likely in full submission per §524B
§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
- Not 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.

• 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.

• Postmarket cybersecurity monitoring plan not clearly documented in AI-generated device summary.

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

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Tyto Insights for Rhonchi Detection - Tyto Care Ltd. | ESL FDA AI Device Intelligence