This invention describes a computer system that uses machine learning to improve how surgical devices operate. It analyzes patient data, including biomarkers, to identify when a device is performing suboptimally. The system then creates and refines a model to optimize the device's behavior, incorporating feedback from healthcare providers, and sends updates to the device to alter its function during surgery.
Why it matters: Machine learning models have become more adept at processing complex medical data and incorporating human feedback since 2021. This makes the adaptive optimization and secure deployment of control program updates to surgical devices more practical.
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