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Explore FDA Good Machine Learning Practice Guidelines for medical device development and Practical Quantum-inspired Machine Learning (QiML 2.0) in this comprehensive seminar. Learn about the 10 guiding principles promoting safe, effective, and high-quality AI/ML-enabled medical devices, with a focus on good software engineering practices. Examine recent FDA approvals of AI/ML-enabled medical devices from October 2023, and delve into the safety and effectiveness of deep learning neural network approximations for medical analysis. Discover how QiML 2.0 utilizes quantum-inspired approaches to process sensitive data safely on conventional computers, minimizing patient risk. Gain insights into the potential advantages of quantum-inspired technology, including improved accuracy, explainability, scalability, and speed in medical device applications. Understand the future prospects of integrating quantum-inspired research into larger machine learning workflows for enhanced medical device development.
Syllabus
FDA Good Machine Learning Practice Guidelines; and Practical QiML 2 0
Taught by
ChemicalQDevice