x1

JSON twin: https://www.healthaidb.com/software/x1.json

Company Name

RefleXion Medical

Product URL

https://reflexion.com/scintix-therapy/

Company URL

https://reflexion.com

Categories

Summary

X1 is a deep‑learning chest X‑ray analysis tool from Visionairy Health that flags images suggestive of any of 15 predefined chest abnormalities and is PACS‑agnostic for integration with existing radiology workflows.

Description

X1 analyzes chest radiographs using deep learning to detect and flag up to 15 prespecified findings (e.g., pneumothorax, cardiomegaly, lung nodules, fibrosis, tuberculosis). It outputs flagged studies for review, is designed to integrate with existing radiology software/PACS, and is CE marked under MDD (Class I).

Api Available

yes

Certifications

Company Founding

2009

Company Offices

Compliance

Customers

Data Residency

Deployable in cloud, hybrid or on-premises; regional hosting options determined per customer (not publicly specified)

Data Standards

Deployment Model

Features

Id

P2014

Integration Partners

Integrations

Languages Supported

Last Updated

2025-09-07

License

Links

Market Segment

Optional Modules

Os Platforms

Pricing Details

Pricing Model

Privacy Features

Ratings

Regions Available

—

Release Year

Security Features

Specialties

Support Channels

System Requirements

Browser-based web client; deployable in cloud, hybrid or on-premises infrastructures (no specific OS/DB listed)

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Canonical JSON

{
  "company_name": "RefleXion Medical",
  "company_url": "https://reflexion.com",
  "company_offices": [
    "United States"
  ],
  "company_founding": "2009",
  "product_url": "https://reflexion.com/scintix-therapy/",
  "categories": [
    "clinical",
    "therapeutic",
    "diagnostic",
    "medical device",
    "radiotherapy",
    "imaging",
    "oncology"
  ],
  "market_segment": [
    "enterprise",
    "hospital",
    "specialty clinic"
  ],
  "links": [
    "https://reflexion.com/",
    "https://reflexion.com/scintix-therapy/",
    "https://reflexion.com/our-technology/clinicians/",
    "https://reflexion.com/scientific-evidence/",
    "https://reflexion.com/wp-content/uploads/2022/06/735%E2%80%9300004-Rev-A_RefleXion_X1_Product_Brochure_Digital_vFINAL-copy.pdf",
    "https://reflexion.com/wp-content/uploads/2021/04/RefleXion-Medical-Fact-Sheet-FINAL.pdf",
    "https://reflexion.com/press-releases/reflexion-to-share-ground-breaking-scintix-therapy-research-in-29-scientific-presentations-at-aapm-2025/",
    "https://www.auntminnie.com/clinical-news/radiation-oncology-therapy/article/15634088/first-patient-treated-using-reflexions-new-radiotherapy-system",
    "https://www.medicaldevice-network.com/projects/reflexion-scintix-radiotherapy/",
    "https://www.sciencedirect.com/science/article/pii/S2452109423001288"
  ],
  "summary": "X1 is a deep‑learning chest X‑ray analysis tool from Visionairy Health that flags images suggestive of any of 15 predefined chest abnormalities and is PACS‑agnostic for integration with existing radiology workflows.",
  "description": "X1 analyzes chest radiographs using deep learning to detect and flag up to 15 prespecified findings (e.g., pneumothorax, cardiomegaly, lung nodules, fibrosis, tuberculosis). It outputs flagged studies for review, is designed to integrate with existing radiology software/PACS, and is CE marked under MDD (Class I).",
  "target_users": [
    "radiologists",
    "radiology technicians",
    "hospital clinicians",
    "hospital administrators"
  ],
  "specialties": [
    "Chest radiology",
    "Pulmonology"
  ],
  "regions_available": [],
  "languages_supported": [],
  "pricing_model": "",
  "pricing_details": "",
  "license": "",
  "deployment_model": [
    "cloud (SaaS)",
    "hybrid",
    "on_prem"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "FHIR-based open architecture and APIs",
    "Data ingestion, cleansing and semantic tagging",
    "Integrated/canonical care record (aggregated, normalized data)",
    "Pre-built self-service analytics dashboards",
    "Event/alert triggering and decision support",
    "Clinical Knowledge Portal (CKP) for practice definitions",
    "Support for machine learning / third-party AI models",
    "Library of pre-existing integrations/connectors",
    "Widgets and pre-defined use-case templates",
    "Unified platform control center for management and monitoring"
  ],
  "optional_modules": [
    "Clinical Knowledge Portal (CKP)",
    "Self-service analytics accelerators",
    "Interoperability/integration adapters",
    "ML/AI accelerators and model deployment",
    "Pre-built care/use-case widgets"
  ],
  "integrations": [],
  "data_standards": [
    "FHIR",
    "HL7 v2/v3",
    "SNOMED CT",
    "ICD-10"
  ],
  "api_available": "yes",
  "system_requirements": "Browser-based web client; deployable in cloud, hybrid or on-premises infrastructures (no specific OS/DB listed)",
  "compliance": [
    "GDPR"
  ],
  "certifications": [],
  "security_features": [
    "Encryption (in transit and at rest)",
    "Role-based access control (RBAC)",
    "SSO/SAML support",
    "Audit logging"
  ],
  "privacy_features": [
    "Consent management (platform supports clinical consent workflows)",
    "Data minimization and semantic tagging for controlled use"
  ],
  "data_residency": "Deployable in cloud, hybrid or on-premises; regional hosting options determined per customer (not publicly specified)",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "",
  "integration_partners": [],
  "id": "P2014",
  "slug": "x1",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-09-07",
  "links_json": {
    "self": "https://www.healthaidb.com/software/x1.json"
  }
}