,

Prashant D Tailor1, Lauren A Dalvin, Matthew R Starr

  • 1Department of Ophthalmology (PDT, LAD, MRS, DAT, KDC, MCB, SAM, JJC), Mayo Clinic, Rochester, Minnesota; Departments of Ophthalmology (HEM) and Neurology & Neurological Sciences (HEM), Stanford University, Palo Alto, California; Department of Ophthalmology (KEL, MWK, DDM), Glick Eye Institute, Indiana University School of Medicine, Indianapolis, Indiana; Ophthalmology Service (KEL), Richard L. Roudebush Veterans' Administration Medical Center, Indianapolis, Indiana; Department of Ophthalmology and Visual Sciences (KEL), University of Louisville, Louisville, Kentucky; Midwest Eye Institute (KEL), Carmel, Indiana; Circle City Neuro-Ophthalmology (KEL), Carmel, Indiana; Department of Neurology (MWK, DDM), Indiana University, Indianapolis, Indiana; Department of Ophthalmology (MADN, OMD), Mayo Clinic, Scottsdale, Arizona; and Department of Ophthalmology (MLP, ERE), Mayo Clinic, Jacksonville, Florida.

概括

在神经眼科中,专家编辑的大型语言模型 (LLM) 响应获得了比人类专家单独获得的更高质量和同理心分数. 这表明,当专家对LLM进行改进时,它具有临床应用的巨大潜力.