Evaluation of generative language models in personalizing medical information: instrument validation study

HIGHLIGHTS

• What: The authors assessed the ability of ChatGPT versions 3.5 and 4 to transform text to suit a broad range of education levels, including 6th grade, 8th grade, 12th grade, and bachelor`s degree. This study explores GLMs as a potentially useful interface to combat LHL by personalizing medical information to a specific education level, as the complexity of clinician-provided and open-access medical information can often inhibit proper understanding. Prespecified designation of input patient education level was the focus of this study. For this study, the FKRE and the FKGL values were calculated and . . .
  

   

  

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