Performance of large language models versus clinicians and novices in veterinary theriogenology decision support
LLMs may assist clinicians and trainees in managing reproductive emergencies by offering rapid, structured, guideline-aligned recommendations. Further evaluation in real clinical settings is warranted.
Authors
- Cevdet Peker (ORCID: https://orcid.org/0000-0002-2150-0640)
- Vefa Tohumcu (ORCID: https://orcid.org/0000-0003-4062-7513)
- Alper Yasin ÇİPLAK (ORCID: https://orcid.org/0000-0002-7912-7703)
- D. T. Okur
- Mehmet Cengiz
- İbrahim Küçükaslan
- Şifanur Aydın
Institutions
- Dicle University (TR)
- Atatürk University (TR)
- Adnan Menderes University (TR)
- Muğla University (TR)
Publication Details
- Journal
- Journal of the American Veterinary Medical Association
- Published
- 2026-02-13
- DOI
- https://doi.org/10.2460/javma.25.09.0615
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00