FDA AI based SaMD Risk Management
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  • FDA - AI based SaMD Risk Management
  • Level of Concern Document (LCD)
  • Software Description (SDE)
  • AI Expertise (AIE)
  • Device Hazard Analysis (DHA)
  • Software Requirement Specifications (SRS)
  • Training and Test Dataset (TTD)
  • Software Design Specifications (SDS)
  • AI Fairness (AIF)
  • AI Transparency and Explainability (ATE)
  • Traceability Analysis (TRA)
  • Verification and Validation (VAV)
  • Revision Level History (RLH)
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FDA - AI based SaMD Risk Management

NextLevel of Concern Document (LCD)

Last updated 2 years ago

In the United States, the FDA (Food and Drug Administration) regulates medical devices, including software as a medical device (SaMD). Software-as-a-Medical-Device (SaMD) is defined as software intended for one or more medical purposes that perform these functions independently of a hardware medical device.

Regarding AI-based SaMD, the FDA has established risk management guidelines. The guidelines are intended to ensure the safety and efficacy of AI-based SaMD and provide a framework for product designers and testers.

The FDA's risk management approach involves identifying and evaluating potential hazards associated with AI-based SaMD. This includes evaluating the algorithm's accuracy, its performance under various conditions, and the potential impact of output errors or inaccuracies. Additionally, developers must implement measures to mitigate any identified hazards.

The FDA recommends a process of continuous monitoring to ensure that the SaMD continues to function as intended and that any new hazards are promptly identified and addressed. This includes continuous testing and evaluation of the SaMD and monitoring user and medical professional feedback.

In conclusion, the FDA's AI-based SaMD risk management guidelines emphasise the significance of identifying and mitigating potential risks associated with AI-based SaMD and implementing a continuous monitoring process to ensure ongoing safety and efficacy. By adhering to these guidelines, developers can ensure that their AI-based SaMD products comply with FDA regulations and provide patients with safe and effective medical solutions.

The FDA Guidance on what to submit with a 510(k) titled, Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices includes the following:

Level of Concern Document
Software Description
AI Expertise (AIE)
Device Hazard Analysis
Software Requirement Specifications (SRS)
Training and Test Dataset (TTD)
Software Design Specifications (SDS)
AI Fairness (AIF)
AI Transparency and Explainability (ATE)
Traceability Analysis
Verification and Validation (V&V) Documentation
Revision Level History