Explore a comprehensive presentation on FDA guidelines for AI/ML medical devices and the potential of quantum-inspired machine learning (QML) in healthcare. Delve into the increasing approval of AI/ML Software as Medical Devices by the FDA, with a focus on deep learning algorithms. Learn about the emerging field of quantum-inspired machine learning and its potential applications in medicine. Discover how QML can be run on quantum simulators using classical hardware, offering advantages such as noise-free operation and efficient differentiation. Examine the scaling up of QML experiments by major organizations like NVIDIA, Brookhaven National Lab, and PennyLane. Investigate the potential benefits of QML for the FDA and medical industry, including improved AI/ML models, new utilities using simulated qubits, and enhanced training accuracies for better patient safety. Access valuable FDA resources, expert insights, and industry perspectives on the intersection of AI/ML and quantum-inspired technologies in healthcare.
FDA AI/ML Medical Device Guidelines and Potential QML Submissions
Overview
Syllabus
FDA AI ML Medical Device Guidelines; Potential QML Submissions
Taught by
ChemicalQDevice
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