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  • Welcome to your QMS
  • Quality Manual
  • Procedures
    • GP-001 Control of documents
    • GP-002 Quality planning
    • GP-003 Audits
    • GP-004 Vigilance system
    • GP-005 Human Resources and Training
    • GP-006 Non-conformity, Corrective and Preventive actions
    • GP-007 Post-market surveillance
    • GP-008 Product requirements
    • GP-009 Sales
    • GP-010 Purchases and suppliers evaluation
    • GP-011 Provision of service
    • GP-012 Design, redesign and development
    • GP-013 Risk management
    • GP-014 Feedback and complaints
    • GP-015 Clinical evaluation
    • GP-016 Traceability and identification
    • GP-017 Technical assistance service
    • GP-018 Infrastructure and facilities
    • GP-019 Software validation plan
    • GP-020 QMS Data analysis
    • GP-021 Communications
    • GP-022 Document translation
    • GP-023 Change control management
    • GP-024 Predetermined Change Control Plan
    • GP-025 Usability and Human Factors Engineering
    • GP-027 Corporate Governance
    • GP-028 AI Development
      • Specific procedures
        • T-TF-028-001 AI Description
        • T-TF-028-002 AI Development Plan
        • T-TF-028-003 Data Collection Instructions
        • T-TF-028-004 Data Annotation Instructions
        • T-TF-028-005 AI Development Report
        • T-TF-028-006 AI Release Report
        • T-TF-028-007 AI Retraining Report
        • T-TF-028-008 AI Reevaluation Report
        • T-TF-028-009 AI Design Checks
        • T-TF-028-010 AI V&V Checks
        • T-TF-028-011 AI Risk Assessment
    • GP-029 Software Delivery and Commissioning
    • GP-030 Cyber Security Management
    • GP-050 Data Protection
    • GP-051 Security violations
    • GP-052 Data Privacy Impact Assessment (DPIA)
    • GP-100 Business Continuity (BCP) and Disaster Recovery plans (DRP)
    • GP-101 Information security
    • GP-200 Remote Data Acquisition in Clinical Investigations
    • GP-026 Market-specific product requirements
    • GP-110 Esquema Nacional de Seguridad
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  • Procedures
  • GP-028 AI Development
  • Specific procedures
  • T-TF-028-006 AI Release Report

T-TF-028-006 AI Release Report

Table of contents
  • Purpose
  • Scope
  • Related Documents
  • Package Details
    • Overview
    • Model File Format
    • Configuration Files
  • Clinical Models: Detailed Specifications
    • [Model Name]
      • Purpose
      • Input Specifications
      • Output Specifications
      • Preprocessing Requirements
      • Post-processing Requirements
      • Configuration File
      • Performance Summary
  • Non-Clinical Models: Detailed Specifications
    • [Model Name]
  • Integration Guidelines
    • System Requirements
    • Deployment Architecture
    • Error Handling
    • Logging and Monitoring
  • Version Control and Traceability
    • Model Versioning
    • Change Log
  • Validation Checklist

Purpose​

Describe the purpose of this release report. Specify the device version and the role of this document in the release process.

Scope​

Define the scope of this release, including the number and types of models covered.

Related Documents​

Document IDTitleRelationship
R-TF-028-001AI/ML Description
R-TF-028-002AI Development Plan
R-TF-028-005AI Development Report
R-TF-028-011AI Risk Assessment

Package Details​

Overview​

Provide an overview of the algorithm package contents.

Model File Format​

Describe the model file format (e.g., ONNX, TensorFlow SavedModel).

Configuration Files​

Describe the configuration files included with each model.

Clinical Models: Detailed Specifications​

For each clinical model, provide:

[Model Name]​

Model Classification: [Clinical Model]

Reference: Reference to R-TF-028-001 section

Purpose​

Describe the purpose of this model.

Input Specifications​

ParameterSpecification
Type
Format
Resolution
Color Space

Output Specifications​

ParameterSpecification
Type
Dimension
Data Type
Range

Output JSON Structure:

{
"example_field": "example_value"
}

Preprocessing Requirements​

Describe the preprocessing steps required.

  1. Step 1
  2. Step 2

Post-processing Requirements​

Describe the post-processing steps required.

  1. Step 1
  2. Step 2

Configuration File​

File: model_config.json

{
"model_path": "",
"model_version": "",
"architecture": "",
"target_shape": [],
"normalization": {}
}

Performance Summary​

MetricResult95% CISuccess Criterion

Non-Clinical Models: Detailed Specifications​

For each non-clinical model, provide the same structure as clinical models.

[Model Name]​

Model Classification: [Non-Clinical Model]

Follow the same structure as clinical models.

Integration Guidelines​

System Requirements​

Describe the system requirements for running the models.

RequirementSpecification
Runtime
Memory
GPU Support

Deployment Architecture​

Describe the deployment architecture.

Error Handling​

Describe error handling requirements.

Logging and Monitoring​

Describe logging and monitoring requirements.

Version Control and Traceability​

Model Versioning​

Describe the versioning scheme.

Change Log​

VersionDateChanges

Validation Checklist​

Reference the AI V&V Checks (R-TF-028-010).

Signature meaning

The signatures for the approval process of this document can be found in the verified commits at the repository for the QMS. As a reference, the team members who are expected to participate in this document and their roles in the approval process, as defined in Annex I Responsibility Matrix of the GP-001, are:

  • Author: JD-009
  • Reviewer: JD-009
  • Approver: JD-005
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T-TF-028-005 AI Development Report
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T-TF-028-007 AI Retraining Report
  • Purpose
  • Scope
  • Related Documents
  • Package Details
    • Overview
    • Model File Format
    • Configuration Files
  • Clinical Models: Detailed Specifications
    • [Model Name]
      • Purpose
      • Input Specifications
      • Output Specifications
      • Preprocessing Requirements
      • Post-processing Requirements
      • Configuration File
      • Performance Summary
  • Non-Clinical Models: Detailed Specifications
    • [Model Name]
  • Integration Guidelines
    • System Requirements
    • Deployment Architecture
    • Error Handling
    • Logging and Monitoring
  • Version Control and Traceability
    • Model Versioning
    • Change Log
  • Validation Checklist
All the information contained in this QMS is confidential. The recipient agrees not to transmit or reproduce the information, neither by himself nor by third parties, through whichever means, without obtaining the prior written permission of Legit.Health (AI Labs Group S.L.)