The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy

The growing ability of large language models and vision language models to jointly interpret and reason over images and text is reshaping medical agents, moving them from task specific predictors toward autonomous systems that perceive, reason, plan, remember, and act in clinical environments. This work departs from the capability first perspective of existing literature and instead begins from clinical deployment, asking what tasks, contamination resistant benchmarks, and interactive training e

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ethics.ai (13 July 2026), “The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy,” evidence record 16, https://ethics.ai/record/16 (originally published by arXiv).

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