DrAid CT Liver Cancer D&T
JSON twin: https://www.healthaidb.com/software/draid-ct-liver-cancer-d-t.json
Company Name
VinBrain
Product URL
https://vinbrain.net
Company URL
https://vinbrain.net
Categories
Summary
DrAid™ CT Liver Cancer D&T is an AI-powered diagnostic tool developed by VinBrain to assist healthcare professionals in the early detection and treatment planning of liver cancer through advanced CT scan analysis.
Description
DrAid™ CT Liver Cancer D&T leverages artificial intelligence and computer vision technologies to analyze CT scans, identifying liver lesions as small as 5mm. It provides features such as automatic segmentation, classification of four types of liver lesions, and the latest LI-RADS classification to assess the risk of hepatocellular carcinoma (HCC). This tool aims to enhance diagnostic accuracy and support clinicians in making informed treatment decisions. The product has been recognized with the Gold Prize for Digital Innovation at the 2024 ASEAN Digital Awards and is deployed in over 182 hospitals globally, serving more than 2,000 doctors and benefiting over 2 million patients. It is also on track for FDA certification, marking its entry into the North American market. ([draid.ai](https://draid.ai/draid-ct-liver-cancer-dianogsis-and-treatment-from-vinbrain-won-gold-asean-digital-awards-2024?utm_source=openai))
Api Available
yes
Certifications
- FDA 510(k)
- ISO 27001
- SOC 2
- GDPR compliance
Company Founding
2019
Company Offices
Compliance
- HIPAA
- GDPR
- ISO 27001
- SOC 2
- FDA 510(k)
Customers
Data Residency
US/EU regions
Data Standards
Deployment Model
Features
- AI-based detection of liver tumors in CT images
- Automatic segmentation of liver lesions
- Classification of liver lesions according to LI-RADS standards
- Visualization of multi-phase CT scans in a single study
- Integration with PACS systems for seamless workflow
- Support for early detection of hepatocellular carcinoma (HCC)
- Provision of tumor volume and diameter measurements
- Assistance in generating medical reports using AI algorithms
Id
SW0118
Integration Partners
Integrations
Languages Supported
Last Updated
2025-10-11
License
commercial
Market Segment
Optional Modules
- Advanced tumor growth prediction
- Integration with electronic health records (EHR) systems
Os Platforms
- Web
- iOS
- Android
- Windows
- macOS
- Linux
Pricing Details
contact vendor
Pricing Model
subscription
Privacy Features
- BAA available
- Consent management
- Anonymization
- Data minimization
Product Code
SW0118
Product Name
DrAid CT Liver Cancer D&T
Ratings
Regions Available
Related Urls
Release Year
Security Features
- Encryption
- RBAC
- SSO/SAML
- Audit logs
- 2FA
Specialties
Support Channels
System Requirements
Windows Server 2016 or later, 16 GB RAM, 500 GB storage
Target Users
- clinicians
- radiologists
- oncologists
- healthcare providers
- medical professionals
Training Options
Type
product
User Reviews
Version
1.0
Alternatives
See related products
Canonical JSON
{
"product_name": "DrAid CT Liver Cancer D&T",
"company_name": "VinBrain",
"product_url": "https://vinbrain.net",
"company_url": "https://vinbrain.net",
"related_urls": [
"https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"
],
"product_code": "SW0118",
"summary": "DrAid™ CT Liver Cancer D&T is an AI-powered diagnostic tool developed by VinBrain to assist healthcare professionals in the early detection and treatment planning of liver cancer through advanced CT scan analysis.",
"description": "DrAid™ CT Liver Cancer D&T leverages artificial intelligence and computer vision technologies to analyze CT scans, identifying liver lesions as small as 5mm. It provides features such as automatic segmentation, classification of four types of liver lesions, and the latest LI-RADS classification to assess the risk of hepatocellular carcinoma (HCC). This tool aims to enhance diagnostic accuracy and support clinicians in making informed treatment decisions. The product has been recognized with the Gold Prize for Digital Innovation at the 2024 ASEAN Digital Awards and is deployed in over 182 hospitals globally, serving more than 2,000 doctors and benefiting over 2 million patients. It is also on track for FDA certification, marking its entry into the North American market. ([draid.ai](https://draid.ai/draid-ct-liver-cancer-dianogsis-and-treatment-from-vinbrain-won-gold-asean-digital-awards-2024?utm_source=openai))",
"categories": [
"diagnostic Support",
"oncology Care",
"radiology",
"imaging Software",
"healthcare It",
"clinical Decision Support",
"oncology Care",
"clinical Decision Support",
"healthcare Software Solutions",
"Diagnostic",
"Oncology",
"Radiology",
"Ai-powered Imaging",
"Healthcare It",
"Medical Imaging",
"Clinical Decision Support",
"Cancer Detection",
"Treatment Planning",
"Healthcare Software"
],
"market_segment": [
"enterprise",
"consumer"
],
"target_users": [
"clinicians",
"radiologists",
"oncologists",
"healthcare providers",
"medical professionals"
],
"specialties": [
"Oncology",
"Radiology",
"Gastroenterology",
"Hepatology",
"Internal Medicine",
"Surgical Oncology",
"Medical Imaging",
"Clinical Decision Support",
"Cancer Detection",
"Treatment Planning",
"Healthcare It",
"Healthcare Software"
],
"regions_available": [
"Vietnam",
"United States",
"India",
"Myanmar",
"Australia",
"Southeast Asia",
"North America"
],
"languages_supported": [
"English",
"Vietnamese"
],
"pricing_model": "subscription",
"pricing_details": "contact vendor",
"license": "commercial",
"company_offices": [
"Vietnam",
"United States",
"India",
"Myanmar",
"Australia"
],
"company_founding": "2019",
"deployment_model": [
"SaaS",
"on_prem",
"hybrid"
],
"os_platforms": [
"Web",
"iOS",
"Android",
"Windows",
"macOS",
"Linux"
],
"features": [
"AI-based detection of liver tumors in CT images",
"Automatic segmentation of liver lesions",
"Classification of liver lesions according to LI-RADS standards",
"Visualization of multi-phase CT scans in a single study",
"Integration with PACS systems for seamless workflow",
"Support for early detection of hepatocellular carcinoma (HCC)",
"Provision of tumor volume and diameter measurements",
"Assistance in generating medical reports using AI algorithms"
],
"optional_modules": [
"Advanced tumor growth prediction",
"Integration with electronic health records (EHR) systems"
],
"integrations": [
"PACS systems",
"EHR systems"
],
"data_standards": [
"DICOM",
"HL7",
"FHIR"
],
"api_available": "yes",
"system_requirements": "Windows Server 2016 or later, 16 GB RAM, 500 GB storage",
"compliance": [
"HIPAA",
"GDPR",
"ISO 27001",
"SOC 2",
"FDA 510(k)"
],
"certifications": [
"FDA 510(k)",
"ISO 27001",
"SOC 2",
"GDPR compliance"
],
"security_features": [
"Encryption",
"RBAC",
"SSO/SAML",
"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": "SW0118",
"slug": "draid-ct-liver-cancer-d-t",
"type": "product",
"version": "1.0",
"last_updated": "2025-10-11",
"links_json": {
"self": "https://www.healthaidb.com/software/draid-ct-liver-cancer-d-t.json"
}
}