arXiv (All)
open access
ResidencyRL: Reinforcement Learning in Simulated Clinical Environments
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 whic
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Simulation and Cadaver Workshop for Medical Students#1362691
- A Student-Centered Approach Towards Implementing Large Language Models (LLMs) in Medical Education.#364769
- Lived experiences of medical interns on the impact of medical curriculum on clinical skills: a phenomenological study.#250982
- Point-of-Care Ultrasound (PoCUS) Teleeducation Curriculum for Hospital-at-home Care#838711
- Using Simulation-Based Training to Incorporate Lung Ultrasound Into Physical Examination#837082
Record · ID 1298101
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive