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AI/ML醫療器材

使用人工智慧或機器學習算法進行診斷、治療決策或監測的醫療器材。FDA已發布AI/ML框架;EU MDR在現有SaMD分類規則下處理AI器材,並有額外的透明度要求。

Last reviewed 2026-08-05 · Reviewed by MedFlux Editorial Board · Editorial policy

Expanded process notes below are currently maintained in English; the short definition above is localized. See our editorial policy.

WHEN IT APPLIES

AI/ML-enabled medical devices raise unique issues around training data, bias, transparency, and predetermined change control plans for iterative updates.

PROCESS / STEPS

  1. Document model development, validation, and human factors.
  2. Define update strategy acceptable to regulators.
  3. Monitor drift and real-world performance.
  4. Report adverse events and manage field updates as needed.

EXAMPLES

  • Radiology triage AI and ECG interpretation algorithms are common AI device categories.

RELATED GUIDES & TOOLS

SOURCES

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