{
  "id": 429411,
  "title": "ResidencyRL: Reinforcement Learning in Simulated Clinical Environments",
  "url": "https://urgent.news/2026/08/07/residencyrl-reinforcement-learning-in-simulated-clinical-environments",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-07T17:04:41.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.07418v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "In medical education, physicians convert academic knowledge into clinical expertise through residency: years of training across thousands of encounters, with diverse sources of feedback and progressively greater autonomy. Much of clinical reasoning relies on the patient encounter, a dialogue in which a clinician elicits history, refines diagnostic hypotheses, and decides management under…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}