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Related Experiment Video

Updated: Sep 13, 2025

Computer-Generated Animal Model Stimuli
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Comparison of Generative Artificial Intelligence and Student-Generated Veterinary Handouts.

Ryan M B Gibson1, Sarah S Tomberlin2, Laci O Mackay3

  • 1Department of Anatomy, Physiology, and Pharmacology, College of Veterinary Medicine, Auburn University, 109 Greene Hall Auburn, AL 36849-5518, USA.

Journal of Veterinary Medical Education
|July 28, 2025
PubMed
Summary
This summary is machine-generated.

Generative AI (gAI) platforms were compared to veterinary students in creating client discharge handouts. Students, particularly high performers, created superior handouts, especially in empathy and client education, though experts couldn't distinguish authorship.

Keywords:
artificial intelligenceassessmentgenerative AIgradinglarge language models

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Area of Science:

  • Veterinary Medicine
  • Artificial Intelligence
  • Client Education

Background:

  • Generative artificial intelligence (gAI) is increasingly used by students for academic tasks.
  • The efficacy of gAI in producing client-facing educational materials, such as veterinary discharge handouts, is largely unexplored.
  • This study investigates the performance of gAI compared to veterinary students in creating client handouts for neurological conditions.

Purpose of the Study:

  • To compare the quality of discharge handouts for canine neurological conditions generated by veterinary students and gAI platforms (ChatGPT 4.0 and Google Bard).
  • To evaluate handouts based on content accuracy, clarity, client education, empathy, and professionalism.
  • To determine if veterinary professionals can differentiate between AI-generated and student-authored handouts.

Main Methods:

  • Handouts for seizures and intervertebral disc disease were created by a high-performing student, an average student, ChatGPT 4.0, and Google Bard.
  • A panel of 24 veterinary professionals and educators graded the handouts across five criteria.
  • Reviewers also attempted to identify the authorship of each handout.

Main Results:

  • High-performing students' handouts scored higher overall and in specific areas like accuracy, completeness, and client education compared to AI-generated handouts.
  • Both student-authored handouts demonstrated significantly higher empathy and client support than AI tools.
  • Despite performance differences, veterinary experts could not reliably distinguish between AI-generated and student-authored handouts.

Conclusions:

  • Veterinary students have the potential to produce higher-quality discharge handouts than current gAI, particularly in client-centered aspects like empathy.
  • While AI tools may offer advantages in clarity and organization, they currently lag in conveying essential human elements in client education.
  • Further research is needed to understand the evolving capabilities of gAI and its role in veterinary education and client communication.