FDA Regulation of AI

FDA Regulation of Artificial Intelligence (AI) and Machine Learning in Software as a Medical Device

On April 2, 2019, the FDA published a discussion paper “Proposed Regulatory Framework for Modifications to Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD) – Discussion Paper and Request for Feedback” that describes the FDA’s foundation for a potential approach to premarket review for artificial intelligence and machine learning-driven software modifications.  One can submit comments on the discussion paper by June 3, 2019.
FDA’s current software framework would be likely to require premarket submissions for most changes to AI based devices. In the new framework, the FDA introduces a “predetermined change control plan” in premarket submissions.  This plan would include the types of anticipated modifications—referred to as the “Software as a Medical Device Pre-Specifications”—and the associated methodology being used to implement those changes in a controlled manner that manages risks to patients —referred to as the “Algorithm Change Protocol.”
In this approach, the FDA would expect a commitment from manufacturers on transparency and real-world performance monitoring for artificial intelligence and machine learning-based software as a medical device, as well as periodic updates to the FDA on what changes were implemented as part of the approved pre-specifications and the algorithm change protocol.

SoftwareCPR Training Courses:

IEC 62304 and other emerging standards for Medical Device and HealthIT Software

Our flagship course for preparing regulatory, quality, engineering, operations, and others for the activities and documentation expected for IEC 62304 conformance and for FDA expectations. The goal is to educate on the intent and purpose so that the participants are able to make informed decisions in the future.  Focus is not simply what the standard says, but what is meant and discuss examples and approaches one might implement to comply.  Special deep discount pricing available to FDA attendees and other regulators.

3-days onsite with group exercises, quizzes, examples, Q&A.

Instructor: Brian Pate

Next public offering:  TBD

Email training@softwarecpr.com to request a special pre-registration discount.  Limited number of pre-registration coupons.

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Being Agile & Yet Compliant (Public or Private)

Our SoftwareCPR unique approach to incorporating agile and lean engineering to your medical device software process training course is now open for scheduling!

  • Agile principles that align well with medical
  • Backlog management
  • Agile risk management
  • Incremental and iterative software development lifecycle management
  •  Frequent release management
  • And more!

2-days onsite (4 days virtual) with group exercises, quizzes, examples, Q&A.

Instructors: Mike Russell, Ron Baerg

Next public offering: March 7 & 28, 2024

Virtual via Zoom

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Medical Device Cybersecurity (Public or Private)

This course takes a deep dive into the US FDA expectations for cybersecurity activities in the product development process with central focus on the cybersecurity risk analysis process. Overall approach will be tied to relevant standards and FDA guidance documentation. The course will follow the ISO 14971:2019 framework for overall structure but utilize IEC 62304, IEC 81001-5-1, and AAMI TIR57 for specific details regarding cybersecurity planning, risk characterization, threat modeling, and control strategies.

2-days onsite with group exercises, quizzes, examples, Q&A.

Instructor: Dr Peter Rech, 2nd instructor (optional)

Next public offering:  TBD

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