大規模な言語モデルのパフォーマンスと,獣医の乳腺遺伝学における臨床医や初心者との比較は,意思決定のサポートに役立ちます
Damla Tuğçe Okur1, Mehmet Cengiz2, İbrahim Küçükaslan3
11Department of Obstetrics and Gynecology, Faculty of Veterinary Medicine, Atatürk University, Erzurum, Turkey.
Journal of the American Veterinary Medical Association
|February 14, 2026
まとめ
ChatGPT-5 ThinkingのようなLarge Language Models (LLMs) は,獣医の遺伝学において有望であり,専門医と競合し,シミュレートされたシナリオで初心者を上回る臨床的意思決定サポートを提供しています.
科学分野:
- 獣医医学 獣医医学は,獣医医学というものです.
- 人工知能 (AI) とは,人工知能 (AI) のことです.
- 生殖器保健は,生殖器の健康についてです.
背景:
- 臨床的意思決定支援は,獣医の遺伝学において極めて重要です.
- 大型言語モデル (LLM) は,臨床意思決定を支援する可能性を秘めています.
研究 の 目的:
- 2人のLLM (ChatGPT-5とChatGPT-5Thinking) の臨床的意思決定支援のパフォーマンスを,獣医療法遺伝学における経験豊富な臨床医と初心者と比較する.
主な方法:
- 15の標準化産婦人科のシナリオは,専門医,初心者の獣医,および両方のLLMによって評価されました.
- 回答は,盲目の専門家パネルによって,5ポイントのグローバル品質スコアを使用して評価されました.
主要な成果:
- ChatGPT-5 Thinkingは最高品質の評価を獲得し,次にChatGPT-5と専門の臨床医が続きました.
- LLMの回答は,一般的に人間の回答よりも一貫性があり,より完全でした.
- 初心者の獣医のスコアは最低でした.
結論:
- LLM,特にChatGPT-5 Thinkingは,臨床的に適切なガイドラインを提供し,初心者のパフォーマンスを上回り,シミュレートされた症例では専門家臨床医のレベルに近づきました.
- LLMは,獣医学における時間的に敏感な産婦人科症例のための補助的な意思決定支援ツールとして潜在性を示しています.
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