# Clinical AI Papers Converge on Bounded Autonomy, Local Inference and Auditable Output

Three new preprints address the same deployment blockers: agents that miss history outside the active context, extraction that must run on-premise, and the absence of long-horizon agent benchmarks for signal data.

- Published: 2026-09-29T06:12:03.689Z
- Canonical: https://polylog.news/ai/2026-09-29/clinical-ai-papers-converge-on-bounded-autonomy-local-infere
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [arXiv cs.AI](https://arxiv.org/abs/2609.31763), [arXiv cs.CL](https://arxiv.org/abs/2609.31629), [arXiv cs.LG](https://arxiv.org/abs/2609.31632)

Three preprints posted on Tuesday describe the same set of constraints from different directions, and together they show what clinical deployment actually demands of agents. SMARtCARE starts from a concrete failure. In intensive care monito…

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