Committee Draft
Ïã¸ÛÁùºÏ²Ê¿ª½±/CD TS 24971-2
Medical devices — Guidance on the application of Ïã¸ÛÁùºÏ²Ê¿ª½± 14971 — Part 2: Machine learning in artificial intelligence
Reference number
Ïã¸ÛÁùºÏ²Ê¿ª½±/CD TS 24971-2
Edition 1
Committee Draft
Ïã¸ÛÁùºÏ²Ê¿ª½±/CD TS 24971-2
87600
A draft is being reviewed by the committee.

Abstract

This document provides guidance for applying an Ïã¸ÛÁùºÏ²Ê¿ª½± 14971 risk management process when evaluating medical technology utilizing machine learning (ML). It is intended to apply to ML-enabled medical devices throughout all phases of the product lifecycle. This document is intended to be used in conjunction with Ïã¸ÛÁùºÏ²Ê¿ª½± 14971. It does not modify the Ïã¸ÛÁùºÏ²Ê¿ª½± 14971 risk management process—rather it provides information and guidance to inform the application of Ïã¸ÛÁùºÏ²Ê¿ª½± 14971 to ML medical technology. This document addresses the same types of risk that are addressed in Ïã¸ÛÁùºÏ²Ê¿ª½± 14971 but focuses on risks that are elevated with or unique to ML medical devices. Because artificial intelligence (AI) and ML are software-driven, the unique or elevated risks are those around data management, feature extraction, algorithm training, evaluation, bias, health inequity, safety, and cyber and information security. This document also provides examples and suggests strategies for eliminating or mitigating the associated risk.

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