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Medical devices - Guidance on the application of ISO 14971 - Part 2: Machine learning in artificial intelligence

Abstract

This document provides guidance for applying an ISO 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 ISO 14971. It does not modify the ISO 14971 risk management process-rather it provides information and guidance to inform the application of ISO 14971 to ML medical technology. This document addresses the same types of risk that are addressed in ISO 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.

Begin

2024-06-06

WI

JT003075

Planned document number

DIN CEN ISO/TS 24971-2

Project number

17600100

Responsible national committee

NA 176-01-02 AA - Quality management and corresponding general aspects for medical devices  

Responsible european committee

CEN/CLC/JTC 3 - Quality management and corresponding general aspects for medical devices  

Responsible international committee

ISO/TC 210/JWG 1 - Joint ISO/TC 210-IEC/SC 62A WG : Application of risk management to medical devices  

Contact

Dipl.-Ing.

Margarethe Boresch

Am DIN-Platz, Burggrafenstr. 6
10787 Berlin

Tel.: +49 30 2601-2413
Fax: +49 30 2601-42413

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