AVA

JSON twin: https://www.healthaidb.com/software/ava.json

Company Name

Product URL

Company URL

Summary

AVA is an AI-powered software developed by See-Mode Technologies that automates the analysis and reporting of vascular ultrasound scans, enhancing diagnostic efficiency and accuracy for clinicians.

Description

AVA utilizes deep learning, text recognition, and signal processing technologies to assist clinicians in interpreting and reporting vascular ultrasound studies. With a single click, AVA can analyze a full vascular ultrasound scan in less than a minute, significantly reducing the time taken to generate reports and minimizing manual errors. This automation augments the clinical workflow, leading to improved productivity, accuracy, and patient outcomes. AVA has received regulatory approvals, including FDA 510(k) clearance, CE Mark, and Australian TGA approval, and is commercially available in Singapore, with ongoing pilots in leading hospitals in Singapore and Australia. The product is also pending CE approval in Europe and has been approved by Singapore's Health Sciences Authority as a Class B medical device. See-Mode Technologies is continuously expanding AVA's capabilities to new clinical use cases and is conducting clinical studies with major stroke centers and research institutes worldwide.

Api Available

yes

Certifications

FDA 510(k)
CE/MDR
ONC
ISO 13485
ISO 14971
IEC 62304
IEC 62366
IEC 60601-1
IEC 60601-1-2
IEC 60601-1-6
IEC 60601-1-8
IEC 60601-1-11
IEC 60601-1-12
IEC 60601-1-15
IEC 60601-1-16
ISO 27001
SOC 2
HIPAA
GDPR
HITECH

Company Founding

2017

Company Offices

Compliance

HIPAA
GDPR
HITECH
SOC 2
ISO 27001
FDA 510(k)
CE/MDR
ONC
ISO 13485
ISO 14971
IEC 62304
IEC 62366
IEC 60601-1
IEC 60601-1-2
IEC 60601-1-6
IEC 60601-1-8
IEC 60601-1-11
IEC 60601-1-12
IEC 60601-1-15
IEC 60601-1-16

Customers

Data Residency

US/EU regions

Data Standards

FHIR
HL7 v2
DICOM
SNOMED CT
ICD-10
LOINC
CPT
ICD-9
HL7 CDA
HL7 CCD

Deployment Model

SaaS
on_prem
hybrid

Features

Automated analysis and reporting of vascular ultrasound scans
Deep learning and signal processing technologies
Single-click full scan analysis in under a minute
Minimization of manual drawing requirements
Enhanced clinical workflow productivity
Improved accuracy and patient outcomes

Id

SW0496

Integration Partners

Integrations

Epic
Cerner
PACS
Billing systems
Hospital information systems
Laboratory information systems
Electronic health records (EHR)
Picture archiving and communication systems (PACS)
Radiology information systems (RIS)
Clinical decision support systems (CDSS)
Laboratory information management systems (LIMS)
Patient management systems
Medical imaging devices
Ultrasound machines
CT scanners
MRI machines
Health information exchanges (HIE)
Telemedicine platforms
Patient portals
Clinical trial management systems (CTMS)

Languages Supported

English

Last Updated

2025-10-11

License

commercial

Market Segment

enterprise
smb

Optional Modules

Advanced reporting capabilities
Integration with hospital information systems
Real-time data analytics
Customizable user interface
Multi-language support
Cloud storage integration
Patient data management
Clinical decision support tools
Regulatory compliance tracking
Audit trail generation

Os Platforms

Web
iOS
Android
Windows
macOS
Linux

Pricing Details

contact vendor

Pricing Model

subscription

Privacy Features

BAA available
Consent management
Anonymization
Data minimization
Data residency options
Data access controls
Data retention policies
Data sharing policies
Data breach notification procedures
Data subject rights management

Product Code

SW0496

Product Name

AVA

Ratings

Regions Available

Related Urls

https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices

Release Year

Security Features

Encryption
RBAC
SSO/SAML
Audit logs
2FA
DLP
Data anonymization
Access controls
Regular security audits
Penetration testing

Specialties

Support Channels

System Requirements

Windows Server 2016 or later
Linux (Ubuntu 18.04 or later)
macOS Mojave or later
2 GB RAM
500 MB free disk space
1 GHz processor
Internet connection for cloud features

Target Users

clinicians
radiologists
sonographers

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "AVA",
  "company_name": "See-Mode Technologies",
  "product_url": "https://www.see-mode.com/ava",
  "company_url": "https://www.see-mode.com",
  "related_urls": [
    "https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"
  ],
  "product_code": "SW0496",
  "summary": "AVA is an AI-powered software developed by See-Mode Technologies that automates the analysis and reporting of vascular ultrasound scans, enhancing diagnostic efficiency and accuracy for clinicians.",
  "description": "AVA utilizes deep learning, text recognition, and signal processing technologies to assist clinicians in interpreting and reporting vascular ultrasound studies. With a single click, AVA can analyze a full vascular ultrasound scan in less than a minute, significantly reducing the time taken to generate reports and minimizing manual errors. This automation augments the clinical workflow, leading to improved productivity, accuracy, and patient outcomes. AVA has received regulatory approvals, including FDA 510(k) clearance, CE Mark, and Australian TGA approval, and is commercially available in Singapore, with ongoing pilots in leading hospitals in Singapore and Australia. The product is also pending CE approval in Europe and has been approved by Singapore's Health Sciences Authority as a Class B medical device. See-Mode Technologies is continuously expanding AVA's capabilities to new clinical use cases and is conducting clinical studies with major stroke centers and research institutes worldwide.",
  "categories": [
    "clinical Care",
    "diagnostic Support",
    "administrative Operations",
    "Clinical",
    "Diagnostic",
    "Administrative"
  ],
  "market_segment": [
    "enterprise",
    "smb"
  ],
  "target_users": [
    "clinicians",
    "radiologists",
    "sonographers"
  ],
  "specialties": [
    "Vascular Imaging",
    "Neurology",
    "Cardiology"
  ],
  "regions_available": [
    "Singapore",
    "Australia",
    "United States",
    "Europe",
    "New Zealand"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "subscription",
  "pricing_details": "contact vendor",
  "license": "commercial",
  "company_offices": [
    "Singapore",
    "Australia"
  ],
  "company_founding": "2017",
  "deployment_model": [
    "SaaS",
    "on_prem",
    "hybrid"
  ],
  "os_platforms": [
    "Web",
    "iOS",
    "Android",
    "Windows",
    "macOS",
    "Linux"
  ],
  "features": [
    "Automated analysis and reporting of vascular ultrasound scans",
    "Deep learning and signal processing technologies",
    "Single-click full scan analysis in under a minute",
    "Minimization of manual drawing requirements",
    "Enhanced clinical workflow productivity",
    "Improved accuracy and patient outcomes"
  ],
  "optional_modules": [
    "Advanced reporting capabilities",
    "Integration with hospital information systems",
    "Real-time data analytics",
    "Customizable user interface",
    "Multi-language support",
    "Cloud storage integration",
    "Patient data management",
    "Clinical decision support tools",
    "Regulatory compliance tracking",
    "Audit trail generation"
  ],
  "integrations": [
    "Epic",
    "Cerner",
    "PACS",
    "Billing systems",
    "Hospital information systems",
    "Laboratory information systems",
    "Electronic health records (EHR)",
    "Picture archiving and communication systems (PACS)",
    "Radiology information systems (RIS)",
    "Clinical decision support systems (CDSS)",
    "Laboratory information management systems (LIMS)",
    "Patient management systems",
    "Medical imaging devices",
    "Ultrasound machines",
    "CT scanners",
    "MRI machines",
    "Health information exchanges (HIE)",
    "Telemedicine platforms",
    "Patient portals",
    "Clinical trial management systems (CTMS)"
  ],
  "data_standards": [
    "FHIR",
    "HL7 v2",
    "DICOM",
    "SNOMED CT",
    "ICD-10",
    "LOINC",
    "CPT",
    "ICD-9",
    "HL7 CDA",
    "HL7 CCD"
  ],
  "api_available": "yes",
  "system_requirements": [
    "Windows Server 2016 or later",
    "Linux (Ubuntu 18.04 or later)",
    "macOS Mojave or later",
    "2 GB RAM",
    "500 MB free disk space",
    "1 GHz processor",
    "Internet connection for cloud features"
  ],
  "compliance": [
    "HIPAA",
    "GDPR",
    "HITECH",
    "SOC 2",
    "ISO 27001",
    "FDA 510(k)",
    "CE/MDR",
    "ONC",
    "ISO 13485",
    "ISO 14971",
    "IEC 62304",
    "IEC 62366",
    "IEC 60601-1",
    "IEC 60601-1-2",
    "IEC 60601-1-6",
    "IEC 60601-1-8",
    "IEC 60601-1-11",
    "IEC 60601-1-12",
    "IEC 60601-1-15",
    "IEC 60601-1-16"
  ],
  "certifications": [
    "FDA 510(k)",
    "CE/MDR",
    "ONC",
    "ISO 13485",
    "ISO 14971",
    "IEC 62304",
    "IEC 62366",
    "IEC 60601-1",
    "IEC 60601-1-2",
    "IEC 60601-1-6",
    "IEC 60601-1-8",
    "IEC 60601-1-11",
    "IEC 60601-1-12",
    "IEC 60601-1-15",
    "IEC 60601-1-16",
    "ISO 27001",
    "SOC 2",
    "HIPAA",
    "GDPR",
    "HITECH"
  ],
  "security_features": [
    "Encryption",
    "RBAC",
    "SSO/SAML",
    "Audit logs",
    "2FA",
    "DLP",
    "Data anonymization",
    "Access controls",
    "Regular security audits",
    "Penetration testing"
  ],
  "privacy_features": [
    "BAA available",
    "Consent management",
    "Anonymization",
    "Data minimization",
    "Data residency options",
    "Data access controls",
    "Data retention policies",
    "Data sharing policies",
    "Data breach notification procedures",
    "Data subject rights management"
  ],
  "data_residency": "US/EU regions",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "",
  "integration_partners": [],
  "id": "SW0496",
  "slug": "ava",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/ava.json"
  }
}

AVA