EFAI Chestsuite XR Malpositioned ETT Assessment System
JSON twin: https://www.healthaidb.com/software/efai-chestsuite-xr-malpositioned-ett-assessment-system.json
Company Name
Cosmo Artificial Intelligence
Product URL
https://cosmoai.com
Company URL
https://cosmoai.com
Categories
Summary
EFAI Chestsuite XR Malpositioned ETT Assessment System is an AI-driven software that analyzes chest X-ray images to detect and alert healthcare professionals about endotracheal tube (ETT) malpositioning, facilitating timely medical intervention.
Description
EFAI Chestsuite XR Malpositioned ETT Assessment System is a computer-aided triage and notification software developed by Cosmo Artificial Intelligence - AI. Utilizing deep learning algorithms, it automatically analyzes chest X-ray images to identify potential vertical malpositioning of endotracheal tubes at the tracheal carina. Upon detection, the system actively sends alerts to PACS/RIS workstations, enabling healthcare professionals to promptly address ETT misplacement and reduce associated complications. The product has received medical device licenses from both the U.S. FDA (License No.: K242821) and Taiwan's TFDA (License No.: 008157).
Api Available
unknown
Certifications
Company Founding
2020
Company Offices
Compliance
- HIPAA
- FDA 510(k)
- ISO 27001
Customers
Data Residency
US/EU regions
Data Standards
Deployment Model
Features
- Deep learning-based analysis of chest X-ray images
- Detection of endotracheal tube (ETT) misplacement at the carina
- Automated alerts to PACS/RIS workstations upon ETT misplacement detection
- Enhanced speed in identifying ETT misplacement compared to standard clinical procedures
Id
SW0095
Integration Partners
Integrations
Languages Supported
Last Updated
2025-10-11
License
Commercial
Market Segment
Optional Modules
Os Platforms
- Web
- iOS
- Android
- Windows
- macOS
- Linux
Pricing Details
Contact vendor for pricing information.
Pricing Model
Subscription
Privacy Features
- BAA available
- Consent management
- Anonymization
- Data minimization
Product Code
SW0095
Product Name
EFAI Chestsuite XR Malpositioned ETT Assessment System
Ratings
Regions Available
Related Urls
Release Year
Security Features
- Encryption
- RBAC
- Audit logs
- 2FA
Specialties
Support Channels
System Requirements
Major OS/DB/hardware needs, or empty if SaaS-only
Target Users
- Clinicians
- Radiologists
- Intensive Care Unit Physicians
- Healthcare Administrators
Training Options
Type
product
User Reviews
Version
1.0
Alternatives
See related products
Canonical JSON
{
"product_name": "EFAI Chestsuite XR Malpositioned ETT Assessment System",
"company_name": "Cosmo Artificial Intelligence",
"product_url": "https://cosmoai.com",
"company_url": "https://cosmoai.com",
"related_urls": [
"https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"
],
"product_code": "SW0095",
"summary": "EFAI Chestsuite XR Malpositioned ETT Assessment System is an AI-driven software that analyzes chest X-ray images to detect and alert healthcare professionals about endotracheal tube (ETT) malpositioning, facilitating timely medical intervention.",
"description": "EFAI Chestsuite XR Malpositioned ETT Assessment System is a computer-aided triage and notification software developed by Cosmo Artificial Intelligence - AI. Utilizing deep learning algorithms, it automatically analyzes chest X-ray images to identify potential vertical malpositioning of endotracheal tubes at the tracheal carina. Upon detection, the system actively sends alerts to PACS/RIS workstations, enabling healthcare professionals to promptly address ETT misplacement and reduce associated complications. The product has received medical device licenses from both the U.S. FDA (License No.: K242821) and Taiwan's TFDA (License No.: 008157).",
"categories": [
"clinical Care",
"diagnostic Support",
"radiology",
"ai Clinical Documentation Integrity",
"clinical Decision Support",
"Clinical",
"Diagnostic",
"Radiology",
"Artificial Intelligence"
],
"market_segment": [
"Enterprise",
"SMB"
],
"target_users": [
"Clinicians",
"Radiologists",
"Intensive Care Unit Physicians",
"Healthcare Administrators"
],
"specialties": [
"Intensive Care",
"Anesthesiology",
"Emergency Medicine",
"Pulmonology",
"Critical Care"
],
"regions_available": [
"United States",
"Taiwan"
],
"languages_supported": [
"English",
"Chinese"
],
"pricing_model": "Subscription",
"pricing_details": "Contact vendor for pricing information.",
"license": "Commercial",
"company_offices": [
"United States",
"Taiwan"
],
"company_founding": "2020",
"deployment_model": [
"SaaS",
"on_prem"
],
"os_platforms": [
"Web",
"iOS",
"Android",
"Windows",
"macOS",
"Linux"
],
"features": [
"Deep learning-based analysis of chest X-ray images",
"Detection of endotracheal tube (ETT) misplacement at the carina",
"Automated alerts to PACS/RIS workstations upon ETT misplacement detection",
"Enhanced speed in identifying ETT misplacement compared to standard clinical procedures"
],
"optional_modules": [],
"integrations": [
"PACS",
"RIS"
],
"data_standards": [
"DICOM"
],
"api_available": "unknown",
"system_requirements": "Major OS/DB/hardware needs, or empty if SaaS-only",
"compliance": [
"HIPAA",
"FDA 510(k)",
"ISO 27001"
],
"certifications": [
"FDA 510(k)",
"ISO 27001"
],
"security_features": [
"Encryption",
"RBAC",
"Audit logs",
"2FA"
],
"privacy_features": [
"BAA available",
"Consent management",
"Anonymization",
"Data minimization"
],
"data_residency": "US/EU regions",
"customers": [],
"user_reviews": [],
"ratings": [],
"support_channels": [],
"training_options": [],
"release_year": "",
"integration_partners": [],
"id": "SW0095",
"slug": "efai-chestsuite-xr-malpositioned-ett-assessment-system",
"type": "product",
"version": "1.0",
"last_updated": "2025-10-11",
"links_json": {
"self": "https://www.healthaidb.com/software/efai-chestsuite-xr-malpositioned-ett-assessment-system.json"
}
}