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This project explores the potential of voice AI agents in using vital signs data to forecast and detect anomalies, potentially leading to digital twin applications to forecast disease and risk.
In the modern day where clinician attention is increasingly desired, AI agents can make up the difference, allowing our care providers to more efficiently and effectively reach their patients.
