Saltar al contenido
← volver

ResidencyRL: Reinforcement Learning in Simulated Clinical Environments

arXiv cs.AI · arxiv.org Publicado:

arXiv:2608.07418v2 Announce Type: replace Abstract: 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 uncertainty. While large language models (LLMs) excel on…

Leer original →

Más de arXiv cs.AI