Data quality Archives - AI Standards Hub

This document establishes concepts and principles for Information Governance. This document applies to the governance of the organisation’s past, current and future information assets. It…

Published

Last Updated: 2 Feb 2024

IEEE 2801-2022

IEEE Recommended Practice for the Quality Management of Datasets for Medical Artificial Intelligence

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Healthcare and medicine - Health informatics AI-specific Data collection Data management

Data quality Process, management and governance

Promoted in this recommended practice are quality management activities for datasets used for artificial intelligence medical devices (AIMD). The document…

Published

Last Updated: 2 Feb 2024

ISO/TS 21564:2019 PD ISO/TS 21564:2019

Health Informatics. Terminology resource map quality measures (MapQual)

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Healthcare and medicine - Health informatics AI-enabling Data processing Data quality

Data sharing Interoperability Product and performance requirements

What is ISO/TS 21564 – Healthcare terminology resource mapping about? Healthcare organizations and software vendors are increasingly using maps to…

Published

Last Updated: 2 Feb 2024

DIN SPEC 13266

Guideline for the development of deep learning image recognition systems

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Horizontal AI-specific Data collection Data processing

Data quality System quality Computer vision - Image recognition Process, management and governance

This DIN SPEC in accordance with the PAS procedure has been drawn up by a DIN SPEC (PAS)-consortium set up…

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Last Updated: 2 Feb 2024

DIN SPEC 13288

Guideline for the development of deep learning image recognition systems in medicine

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Healthcare and medicine - Medical imaging AI-specific Data collection Data processing

Data quality System quality Computer vision - Image recognition Process, management and governance

This document gives the requirements, under which image recognition problems in medicine can be addressed using a Deep Learning image…

Published

Last Updated: 2 Feb 2024

Content Type

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 1: Overview, terminology, and examples

Algorithmic Bias Considerations

Information technology — Biometric sample quality — Part 5: Face image data

Information technology – Artificial intelligence – Overview of trustworthiness in artificial intelligence

IEEE Recommended Practice for the Quality Management of Datasets for Medical Artificial Intelligence

Guideline for the development of deep learning image recognition systems

Guideline for the development of deep learning image recognition systems in medicine

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