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[All paths](/paths)Data · ML · RA · 9 terms 

# AI/ML Devices Deep Dive

For teams shipping AI-enabled devices: PCCP mechanics, GMLP, model documentation, drift monitoring, and generative-AI considerations.

Your progress

0 of 9 lessons complete · up next: AI/ML-Enabled Medical Device 

[Start path](/terms/ai-ml-device?from=ai-ml-devices-deep-dive)

1.  1
    
    [
    
    Software & AI
    
    ## AI/ML-Enabled Medical Device
    
    Medical device that uses artificial intelligence or machine learning to perform its intended use.
    
    Why this term here: The FDA definition that scopes what an 'AI-enabled device' actually is.
    
    ](/terms/ai-ml-device?from=ai-ml-devices-deep-dive)Mark done
    
2.  2
    
    [
    
    Software & AI
    
    ## Predetermined Change Control Plan(PCCP) 
    
    FDA mechanism to pre-authorize specific modifications to AI/ML-enabled devices.
    
    Why this term here: Pre-Determined Change Control Plan: pre-authorize model updates in the submission.
    
    ](/terms/ai-ml-pccp?from=ai-ml-devices-deep-dive)Mark done
    
3.  3
    
    [
    
    Software & AI
    
    ## Good Machine Learning Practice(GMLP) 
    
    Guiding principles for the development of AI/ML-enabled medical devices.
    
    Why this term here: The FDA / MHRA / Health Canada joint principles for ML lifecycle.
    
    ](/terms/good-machine-learning-practice?from=ai-ml-devices-deep-dive)Mark done
    
4.  4
    
    [
    
    Software & AI
    
    ## Model Card
    
    Structured documentation of a machine learning model's intended use, performance, and limitations.
    
    Why this term here: The transparency artifact that pairs a model with its intended use and limits.
    
    ](/terms/model-card?from=ai-ml-devices-deep-dive)Mark done
    
5.  5
    
    [
    
    Software & AI
    
    ## Model Drift Monitoring
    
    Ongoing surveillance of input data and model outputs to detect performance degradation post-deployment.
    
    Why this term here: How to detect that a deployed model no longer performs as claimed.
    
    ](/terms/drift-monitoring?from=ai-ml-devices-deep-dive)Mark done
    
6.  6
    
    [
    
    Software & AI
    
    ## Explainability and Interpretability
    
    Methods (SHAP, saliency maps, prototype explanations) that help users understand why a model made a given prediction.
    
    Why this term here: The XAI requirements that increasingly show up in premarket questions.
    
    ](/terms/explainability?from=ai-ml-devices-deep-dive)Mark done
    
7.  7
    
    [
    
    Software & AI
    
    ## Generative AI in Medical Devices
    
    Devices that use LLMs or diffusion models to generate text, images, or recommendations within a clinical workflow.
    
    Why this term here: The emerging category where PCCP alone is not yet sufficient.
    
    ](/terms/generative-ai-devices?from=ai-ml-devices-deep-dive)Mark done
    
8.  8
    
    [
    
    Software & AI
    
    ## Foundation Model (Healthcare)
    
    Large pretrained model adaptable to many downstream clinical tasks via fine-tuning or prompting.
    
    Why this term here: How large pretrained models change the risk conversation.
    
    ](/terms/foundation-model-health?from=ai-ml-devices-deep-dive)Mark done
    
9.  9
    
    [
    
    Software & AI
    
    ## Software as a Medical Device(SaMD) 
    
    Software intended for medical purposes that performs without being part of a hardware device.
    
    Why this term here: Almost every AI/ML device is SaMD; know why that framing matters.
    
    ](/terms/samd?from=ai-ml-devices-deep-dive)Mark done
    

Finished the path? Test yourself with a quiz tailored to these 9 terms.

[Take the AI/ML Devices Deep Dive quiz](/quiz?path=ai-ml-devices-deep-dive)

MedTech Terms 

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Resources

-   [FDA Medical Devices](https://www.fda.gov/medical-devices)
-   [EU MDR](https://eur-lex.europa.eu/eli/reg/2017/745/oj)
-   [IMDRF](https://www.imdrf.org/)
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