Harrison.rad.1

JSON twin: https://www.healthaidb.com/software/harrison-rad-1.json

Company Name

harrison.ai

Product URL

https://harrison.ai/harrison-rad-1/

Company URL

https://harrison.ai

Categories

• clinical Decision Support
• imaging Software
• ai Clinical Documentation Integrity
• radiology
• diagnostic Support
• Medical Imaging
• Artificial Intelligence

Summary

Harrison.rad.1 is an AI-driven radiology model developed by Harrison.ai to assist radiologists in detecting and localizing findings, generating reports, and understanding clinical history, aiming to enhance diagnostic accuracy and efficiency.

Description

Harrison.rad.1 is a radiology-specific vision language model designed to support radiologists in critical tasks such as detecting and localizing radiological findings, generating structured reports, and providing longitudinal reasoning based on clinical history and patient context. Trained on diverse, proprietary clinical data annotated by medical specialists, it emphasizes clinical safety and accuracy. The model has demonstrated exceptional performance, scoring 51.4 out of 60 on the Fellowship of the Royal College of Radiologists (FRCR) 2B Rapids exam, outperforming other foundational models. Additionally, it achieved 82% accuracy on the VQA-Rad benchmark for plain radiographs and 73% accuracy on RadBench, Harrison.ai's in-house dataset. Harrison.rad.1 is currently accessible to selected industry partners, healthcare professionals, and regulators worldwide, with plans for further open and competitive evaluations by leading professionals.

Api Available

unknown

Certifications

• FDA 510(k)
• CE Mark
• ISO 13485
• ISO 14791
• IEC 62304

Company Founding

2018

Company Offices

• Australia
• United States
• United Kingdom
• Denmark
• Hong Kong

Compliance

• HIPAA
• GDPR
• Australian Privacy Principles (APPs)

Customers

Data Residency

US/EU regions

Data Standards

• DICOM
• HL7
• FHIR

Deployment Model

• SaaS

Features

• Dialogue-based interaction with X-ray images
• Detection and localization of radiological findings
• Generation of structured and unstructured reports
• Longitudinal reasoning based on clinical history and patient context
• Open-ended chat capabilities related to X-ray images

Id

SW1438

Integration Partners

Integrations

• PACS
• DICOM-compatible imaging systems

Languages Supported

• English

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• smb

Optional Modules

Os Platforms

• Web

Pricing Details

Contact vendor for pricing information.

Pricing Model

enterprise_quote

Privacy Features

• De-identification
• Anonymization
• Data minimization

Product Code

SW1438

Product Name

Harrison.rad.1

Ratings

Regions Available

• Australia
• United States
• United Kingdom
• Europe
• Asia-Pacific
• Middle East
• Africa

Related Urls

• https://elion.health/products/harrison-rad-1q

Release Year

Security Features

• Encryption
• RBAC
• Audit logs
• 2FA

Specialties

• Radiology

Support Channels

System Requirements

Target Users

• radiologists
• clinicians
• healthcare professionals

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

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  "product_name": "Harrison.rad.1",
  "company_name": "harrison.ai",
  "product_url": "https://harrison.ai/harrison-rad-1/",
  "company_url": "https://harrison.ai",
  "related_urls": [
    "https://elion.health/products/harrison-rad-1q"
  ],
  "product_code": "SW1438",
  "summary": "Harrison.rad.1 is an AI-driven radiology model developed by Harrison.ai to assist radiologists in detecting and localizing findings, generating reports, and understanding clinical history, aiming to enhance diagnostic accuracy and efficiency.",
  "description": "Harrison.rad.1 is a radiology-specific vision language model designed to support radiologists in critical tasks such as detecting and localizing radiological findings, generating structured reports, and providing longitudinal reasoning based on clinical history and patient context. Trained on diverse, proprietary clinical data annotated by medical specialists, it emphasizes clinical safety and accuracy. The model has demonstrated exceptional performance, scoring 51.4 out of 60 on the Fellowship of the Royal College of Radiologists (FRCR) 2B Rapids exam, outperforming other foundational models. Additionally, it achieved 82% accuracy on the VQA-Rad benchmark for plain radiographs and 73% accuracy on RadBench, Harrison.ai's in-house dataset. Harrison.rad.1 is currently accessible to selected industry partners, healthcare professionals, and regulators worldwide, with plans for further open and competitive evaluations by leading professionals.",
  "categories": [
    "clinical Decision Support",
    "imaging Software",
    "ai Clinical Documentation Integrity",
    "clinical Decision Support",
    "radiology",
    "diagnostic Support",
    "Clinical Decision Support",
    "Medical Imaging",
    "Artificial Intelligence",
    "Radiology",
    "Diagnostic Support"
  ],
  "market_segment": [
    "enterprise",
    "smb"
  ],
  "target_users": [
    "radiologists",
    "clinicians",
    "healthcare professionals"
  ],
  "specialties": [
    "Radiology"
  ],
  "regions_available": [
    "Australia",
    "United States",
    "United Kingdom",
    "Europe",
    "Asia-Pacific",
    "Middle East",
    "Africa"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "enterprise_quote",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "commercial",
  "company_offices": [
    "Australia",
    "United States",
    "United Kingdom",
    "Denmark",
    "Hong Kong"
  ],
  "company_founding": "2018",
  "deployment_model": [
    "SaaS"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "Dialogue-based interaction with X-ray images",
    "Detection and localization of radiological findings",
    "Generation of structured and unstructured reports",
    "Longitudinal reasoning based on clinical history and patient context",
    "Open-ended chat capabilities related to X-ray images"
  ],
  "optional_modules": [],
  "integrations": [
    "PACS",
    "DICOM-compatible imaging systems"
  ],
  "data_standards": [
    "DICOM",
    "HL7",
    "FHIR"
  ],
  "api_available": "unknown",
  "system_requirements": "",
  "compliance": [
    "HIPAA",
    "GDPR",
    "Australian Privacy Principles (APPs)"
  ],
  "certifications": [
    "FDA 510(k)",
    "CE Mark",
    "ISO 13485",
    "ISO 14791",
    "IEC 62304"
  ],
  "security_features": [
    "Encryption",
    "RBAC",
    "Audit logs",
    "2FA"
  ],
  "privacy_features": [
    "De-identification",
    "Anonymization",
    "Data minimization"
  ],
  "data_residency": "US/EU regions",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "",
  "integration_partners": [],
  "id": "SW1438",
  "slug": "harrison-rad-1",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/harrison-rad-1.json"
  }
}