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Content DescriptionThis document provides guidance and intends to serve as a companion to ANSI/AAMI/ISO 14971:2019 for those performing risk management for artificial intelligence (AI) or machine learning (ML) incorporating medical devices. This AAMI Consensus Report does not provide a new risk management process, nor does it expand the requirements of ISO 14971. Rather, it provides guidance to assist those who are applying ISO 14971 to regulated AI medical technologies. There are many different algorithms that can support AI, including technologies such as decision trees, genetic algorithms, and neural nets. Often, when people are discussing AI, they are specifically talking about Machine Learning systems. Since Machine Learning (ML) systems are often more complicated and more opaque than other approaches, this report focuses on ML-related risks.
The Association for the Advancement of Medical Instrumentation® (AAMI) is a nonprofit organization founded in 1967. It is a diverse community of more than 8,000 professionals united by one important mission—the development, management, and use of safe and effective health technology.
AAMI is the primary source of consensus standards, both national and international, for the medical device industry, as well as practical information, support, and guidance for healthcare technology and sterilization professionals. AAMI helps members:
Stay on top of new technology and policy developments
Add value in healthcare organizations
Improve professional skills
Enhance patient care
AAMI provides a unique and critical forum for a variety of professionals including clinical and biomedical engineers and technicians, physicians, nurses, hospital administrators, educators, scientists, manufacturers, distributors, government regulators, and others with an interest in healthcare technology. AAMI fulfills its mission through:
Courses, conferences, and continuing education, including certification programs.
Collaborative initiatives, including summits with the FDA
A rich array of resources, including peer-reviewed journals, technical documents, books, videos, podcasts, and other products.
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