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    Model Card

    Structured documentation of a machine learning model's intended use, performance, and limitations.

    Reviewed by Christian Espinosa, Founder, Blue Goat CyberLast reviewed May 5, 2026

    Definition

    A model card summarizes a model's purpose, training and evaluation data, performance metrics across relevant subgroups, ethical considerations, and known limitations to support transparent, responsible use.

    What this means in practice

    Increasingly expected by regulators (e.g., FDA's transparency principles for ML-enabled devices) and procurement teams. Often combined with 'Indications-for-Use'-style cards for clinical AI.

    Cross-references

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    Primary references

    3 sources
    Link health: 2 verified 1 bot-blocked· last checked 2026-05-09
    1. 1
      FDA Transparency Principles for ML Devices
      Bot-blocked
      FDAfda.gov
    2. 2
      FDA - Software as a Medical Device (SaMD)
      Verified
      FDAfda.gov
    3. 3
      FDA - AI/ML-Enabled Medical Devices
      Verified
      FDAfda.gov

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