Cura 1T: Specialized Model for Agentic Healthcare
For healthcare AI developers, Cura 1T provides a specialized model that excels across diverse healthcare tasks without sacrificing general performance, addressing the problem of narrow updates degrading other capabilities.
Cura 1T is a healthcare-specialized LLM that achieves top or near-top performance across a healthcare evaluation suite while remaining competitive on out-of-domain reasoning and agentic benchmarks, addressing the challenge of covering patient consultation, clinical reasoning, interactive diagnosis, and EHR tool use without degrading other capabilities.
Healthcare spans high-stakes communication, expert reasoning, and workflow execution, yet specialized LLMs that cover these use cases together remain limited. A healthcare model must handle patient consultation, clinical reasoning over text and images, interactive diagnosis, and electronic health record (EHR) tool use. These capabilities fail in different ways, and a narrow update for one task can degrade another. We present Cura 1T, a healthcare-specialized LLM trained through a human-gated self-evolution loop. In each evolution round, a training agent plans a target capability, trains the model, evaluates benchmark trajectories, and refines the data mixture from observed failures. This data-centered loop improves the model through targeted synthetic and curated examples rather than a single generic medical-data update. Across the healthcare evaluation suite, Cura 1T ranks at or near the top among frontier baselines, while remaining competitive on out-of-domain reasoning and agentic benchmarks.