使:

Eury Hong1, Sundes Kazmir, Benjamin Dylik

  • 1From the Department of Pediatrics (E.H., B.D.), Yale University School of Medicine, New Haven, CT; Department of Pediatrics (S.K.), Sections of Safety, Advocacy and Healing and General Pediatrics, Yale University School of Medicine, New Haven, CT; Department of Pediatrics (M.A., S.A., T.M.W., I.T.G.), Section of Emergency Medicine, Yale University School of Medicine, New Haven, CT; Department of Emergency Medicine (M.A., T.M.W.), Yale University School of Medicine, New Haven, CT; Yale University School of Medicine (M.R., A.S.R.), New Haven, CT; Department of Pediatrics (R.H., L.J.), Section of Neonatal-Perinatal Medicine, Yale University School of Medicine, New Haven, CT; Department of Anesthesiology, Critical Care and Pain Medicine (T.A.W.), Boston Children's Hospital, Boston, MA; and Harvard Medical School (T.A.W.), Boston, MA.

概括

生成型人工智能 (AI) 可以通过组织复杂的信息来支持模拟报告,从而有可能提高学习质量. 虽然辅导员经历了中等到高的任务负载,但人工智能集成在改进基于模拟的教育过程中提高了注意力并最大限度地减少了分心.

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