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ISO 23903:2021 BS EN ISO 23903:2021

Health Informatics. Interoperability and integration reference architecture. Model and framework

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Interoperability System architecture Interface and architecture

What is ISO 23903—Interoperability and integration reference architecture about? ISO 23903 is an international standard that deals with health informatics.…

Published

Last Updated: 18 Jul 2024

ISO/TR 24291:2021

Health informatics – Applications of machine learning technologies in imaging and other medical applications

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Healthcare and medicine - Clinical medicine Healthcare and medicine - Health informatics Healthcare and medicine - Medical imaging AI-specific

Data collection Data processing Computer vision - Image recognition Foundational and terminology Process, management and governance

This document lists examples of and defines categories of use cases for machine learning in medicine for clinical practice. The…

Published

Last Updated: 18 Jul 2024

ITU-T L Supplement 42

Guidelines on the environmental efficiency of machine learning processes in supply chain management

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Logistics and supply chain management AI-specific Explainability and transparency Security and resilience

Sustainability Measurement and test methods

This guidance document is intended to support machine learning (ML) researchers and operators to measure and improve the environmental efficiency…

Published

Last Updated: 18 Jul 2024

PAS 277:2015 from BSI

Health and wellness apps. Quality criteria across the life cycle. Code of practice

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Healthcare and medicine AI-enabling Project management Risk management

System lifecycle System quality Process, management and governance

What is PAS 277 – Health and wellness apps – Code of practise with quality standards for all stages of…

Published

Last Updated: 18 Jul 2024

FD S97-725

Health informatics – Guide for implementation of a conceptual approach for a healthcare computerisation system

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Healthcare and medicine - Health informatics AI-enabling - Corporate governance AI-enabling - Information management AI-enabling - IT governance

Data management Process, management and governance

This document summarizes the work carried out by the sub-working group “conceptual approach” which aimed to develop elements of an…

Published

Last Updated: 18 Jul 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: 18 Jul 2024

BS PAS 1880:2020

Guidelines for developing and assessing control systems for automated vehicles

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Transport and autonomous vehicles - Road vehicles AI-specific Risk management Safety

Security and resilience System architecture System quality Robotics and autonomous systems Process, management and governance

What is PAS 1880 – Control systems for automated vehicles about? It sets out control system guidelines for automated vehicle…

Published

Last Updated: 18 Jul 2024

NWIP TR (N 256)

Green and sustainable AI

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Energy Horizontal AI-specific Sustainability

System lifecycle Measurement and test methods Process, management and governance

The proposed document will establish a framework for quantification of environmental impact of AI and its long-term sustainability, and encourage…

Pre-draft

Last Updated: 18 Jul 2024

ITU-T P.1402

Guidance for the development of machine-learning-based solutions for QoS/QoE prediction and network performance management in telecommunication scenarios

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Telecom and network-based services AI-specific System architecture Process, management and governance See more

Recommendation ITU-T P.1402 introduces machine-learning techniques and their application for quality of service (QoS) and quality of experience (QoE) prediction…

Published

Last Updated: 18 Jul 2024

ITU-T Y.3156

Framework of network slicing with AI-assisted analysis in IMT-2020 networks

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Vertical AI-specific Interoperability Security and resilience

System architecture Interface and architecture

Recommendation ITU-T Y.3156 describes the requirements and functional roles of AI-assisted analysis in support of the lifecycle management and orchestration…

Published

Last Updated: 18 Jul 2024

ITU-T Y.4471

Functional architecture of network-based driving assistance for autonomous vehicles

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Transport and autonomous vehicles - Road vehicles AI-specific Data management Data processing

Interoperability Safety System architecture Robotics and autonomous systems Interface and architecture

Recommendation ITU-T Y.4471 defines a reference functional architecture of network-based driving assistance (NDA) for autonomous vehicles. It clarifies the concept…

Published

Last Updated: 18 Jul 2024

ITU-T Y.3175

Functional architecture of machine learning-based quality of service assurance for the IMT-2020 network

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Telecom and network-based services AI-specific System architecture Interface and architecture See more

This Recommendation specifies a functional architecture of quality of service (QoS) assurance based on machine learning (ML) for the international…

Published

Last Updated: 18 Jul 2024

Content Type

Health informatics – Applications of machine learning technologies in imaging and other medical applications

Guidelines on the environmental efficiency of machine learning processes in supply chain management

Health and wellness apps. Quality criteria across the life cycle. Code of practice

Health informatics – Guide for implementation of a conceptual approach for a healthcare computerisation system

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

Guidelines for developing and assessing control systems for automated vehicles

Green and sustainable AI

Guidance for the development of machine-learning-based solutions for QoS/QoE prediction and network performance management in telecommunication scenarios

Framework of network slicing with AI-assisted analysis in IMT-2020 networks

Functional architecture of network-based driving assistance for autonomous vehicles

Functional architecture of machine learning-based quality of service assurance for the IMT-2020 network

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