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IMDRF N88 Good Machine Learning Practice for Medical Device Development: Guiding Principles (2025)

International (IMDRF member regulators)
vIMDRF/AIML WG/N88 FINAL:2025 (27 January 2025)
1 domains
10 controls

The IMDRF's ten guiding principles for good machine learning practice in medical devices: intended use and multi-disciplinary expertise, engineering and security fundamentals, representative and independent datasets, fit-for-purpose reference standards, suitable model design, human-AI team assessment, clinically relevant testing, clear user information, and post-deployment monitoring and re-training controls.

Verified

IMDRF N88 Good Machine Learning Practice for Medical Device Development: Guiding Principles (2025) is a compliance framework from International (IMDRF member regulators) with 1 domains and 10 controls. The largest domains are Section 3: Guiding principles – IMDRF N88 Good Machine Learning Practice for Medical Device Development: Guiding Principles (2025) (10 controls). Every control below carries what it requires and what an assessor expects to see.

Maintained by Gerard Blokdyk

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Framework Domains (1)

Section 3: Guiding principles – IMDRF N88 Good Machine Learning Practice for Medical Device Development: Guiding Principles (2025)

10 controls
Controls in the Section 3: Guiding principles – IMDRF N88 Good Machine Learning Practice for Medical Device Development: Guiding Principles (2025) domain of IMDRF N88 Good Machine Learning Practice for Medical Device Development: Guiding Principles (2025): 10 controls
CodeTitle
imdrf-n88-good-machine-learning-practice-for-medical-device-development-guiding-principles-2025::P1Understand the intended use deeply and bring multi-disciplinary expertise across the life cycle
imdrf-n88-good-machine-learning-practice-for-medical-device-development-guiding-principles-2025::P10Monitor deployed models and manage re-training risks
imdrf-n88-good-machine-learning-practice-for-medical-device-development-guiding-principles-2025::P2Apply good software engineering, device design and security practice throughout
imdrf-n88-good-machine-learning-practice-for-medical-device-development-guiding-principles-2025::P3Evaluate clinically with datasets representative of the intended patient population
imdrf-n88-good-machine-learning-practice-for-medical-device-development-guiding-principles-2025::P4Keep training and test datasets independent
imdrf-n88-good-machine-learning-practice-for-medical-device-development-guiding-principles-2025::P5Use reference standards that are fit for purpose
imdrf-n88-good-machine-learning-practice-for-medical-device-development-guiding-principles-2025::P6Tailor model choice and design to the data and the intended use
imdrf-n88-good-machine-learning-practice-for-medical-device-development-guiding-principles-2025::P7Assess the human-AI team in the intended use environment, not the device alone
imdrf-n88-good-machine-learning-practice-for-medical-device-development-guiding-principles-2025::P8Test performance under clinically relevant conditions, independent of training data
imdrf-n88-good-machine-learning-practice-for-medical-device-development-guiding-principles-2025::P9Give users clear, essential information

What is IMDRF N88 Good Machine Learning Practice for Medical Device Development: Guiding Principles (2025) and who does it apply to?

IMDRF N88 Good Machine Learning Practice for Medical Device Development: Guiding Principles (2025) is a compliance framework from International (IMDRF member regulators) with 1 domains and 10 controls. The IMDRF's ten guiding principles for good machine learning practice in medical devices: intended use and multi-disciplinary expertise, engineering and security fundamentals, representative and independent datasets, fit-for-purpose reference standards, suitable model design, human-AI team assessment, clinically relevant testing, clear user information, and post-deployment monitoring and re-training controls. It is used by organisations to establish and maintain compliance with industry standards and regulatory requirements.

What does IMDRF N88 Good Machine Learning Practice for Medical Device Development: Guiding Principles (2025) actually require?

IMDRF N88 Good Machine Learning Practice for Medical Device Development: Guiding Principles (2025) has 10 controls organised across 1 domains. The largest domains are Section 3: Guiding principles – IMDRF N88 Good Machine Learning Practice for Medical Device Development: Guiding Principles (2025) (10 controls). Each control defines specific requirements that organisations must implement to achieve compliance.

If I already comply with another framework, how much of IMDRF N88 Good Machine Learning Practice for Medical Device Development: Guiding Principles (2025) do I already cover?

IMDRF N88 Good Machine Learning Practice for Medical Device Development: Guiding Principles (2025) does not currently have cross-framework mappings in our system. Check back as we continuously expand our mapping database.

How do I implement IMDRF N88 Good Machine Learning Practice for Medical Device Development: Guiding Principles (2025)?

Start your IMDRF N88 Good Machine Learning Practice for Medical Device Development: Guiding Principles (2025) compliance journey by running a self-assessment on our platform to identify your current compliance posture. Our AI advisory can answer specific questions about IMDRF N88 Good Machine Learning Practice for Medical Device Development: Guiding Principles (2025) requirements, and cross-framework mapping helps you leverage existing controls from other frameworks you may already comply with. Create a free account to access all 10 controls and track your progress.

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