Computing US 12,450,284 B2 Not in force

Agentic AI, contextual AI, and generative AI systems and methods for medical and genetic analytics, diagnostics, and treatment recommendations

This invention describes an AI system that uses various patient data, including real-time sensor information and genetic details, along with specialized internal and external research databases. An autonomous AI agent within the system analyzes this information to generate and test medical hypotheses, train machine learning models, and ultimately provide insights for diagnostics and treatment.

Why it matters: The rapid evolution of AI orchestration frameworks and multi-agent system reliability since 2025 could make the autonomous agentic functions described in the claims more practically achievable and trustworthy for medical applications.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, machine learning, data integration, AI agents

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