We are building real-world healthcare needs solution with AI ●Automated Medical Record Summarization using LLMs: This can significantly reduce the documentation burden for physicians—an especially valuable improvement given the current strain on healthcare resources; ●Misdiagnosis Alerting with GNNs and Temporal Modeling: This provides a second diagnostic layer that can compensate for the shortage of experienced clinicians in underserved areas; ●Prescription Optimization with Reinforcement Learning: By accounting for a patient’s ability to pay and matching with real-time insurance and market prices, the system can suggest the most cost-effective options—an innovative approach to solving the “can’t afford the medicine” problem; ●Federated Learning and Privacy-Preserving Infrastructure: These enable secure, compliant data collaboration across institutions, addressing the persistent challenge of medical information silos. Sign Up to book a demo
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