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Personalized State-Transition-Aware Memory for Clinical Agents

This story is from 2026-10-01. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.38490v1 Announce Type: new Abstract: Large language model (LLM) agents that reason over clinical records must track changes in a patient's state while preserving the history needed to understand them. Simply accumulating memories leaves it unclear which information still applies, whereas…

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  1. 2026-10-01 04:00 · arXiv cs.CL
    Personalized State-Transition-Aware Memory for Clinical Agents

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