Explore the potential applications of quantum-inspired machine learning algorithms in FDA submissions for Software as a Medical Device (SaMD) in this comprehensive presentation. Delve into the analysis of recent FDA AI/ML approvals, including De Novo and 510(k) classifications, and their potential for quantum-inspired algorithm implementation. Gain insights into terminology such as quantum-inspired algorithms, SaMD, and FDA classification pathways. Examine case studies from major healthcare companies and startups, and learn about the latest research in quantum-inspired algorithms. Understand the implications of quantum technologies in medical imaging, cardiovascular health, and neuroimaging. Access additional resources and references to deepen your knowledge of this cutting-edge field at the intersection of quantum computing and healthcare technology.
Quantum Inspired Machine Learning for FDA Quantum ML Software as Medical Device Submissions
Overview
Syllabus
Quantum Inspired ML, Potential New FDA QML SaMD Submissions
Taught by
ChemicalQDevice
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