中国兽医虽广泛使用AI，但对其原理普遍不熟悉，形成独特使用矛盾。
The Adoption Paradox for Veterinary Professionals in China: High Use of Artificial Intelligence Despite Low Familiarity
- 基于455名兽医的问卷，发现71%已用AI但近半人不熟悉技术。
- 临床应用为主，超半数用于疾病诊断和开药计算，但54.3%担忧可靠性。
- 适合关注中国医疗AI落地、政策制定者及临床工具开发者参考。
尽管全球人工智能（AI）在兽医领域的融合加速，中国市场的采用动态仍不清晰。本文基于2025年中对455名执业兽医的横断面调查，首次揭示了该领域特有的“采纳悖论”：71.0%的受访者已将AI纳入工作流程，但其中44.6%仍表示对技术了解程度低。与北美以行政管理为主的模式不同，中国兽医的采纳以临床实践为导向，集中在疾病诊断（50.1%）和处方计算（44.8%）。然而，可靠性和准确性仍是主要障碍（54.3%），同时93.8%的从业者支持监管。这反映出中国独特的“由内而外”整合模式——临床价值高但存在“可解释性鸿沟”，亟需专用工具与强监管框架以安全释放其潜力。
原文摘要 · Abstract (English)
While the global integration of artificial intelligence (AI) into veterinary medicine is accelerating, its adoption dynamics in major markets such as China remain uncharacterized. This paper presents the first exploratory analysis of AI perception and adoption among veterinary professionals in China, based on a cross-sectional survey of 455 practitioners conducted in mid-2025. We identify a distinct "adoption paradox": although 71.0% of respondents have incorporated AI into their workflows, 44.6% of these active users report low familiarity with the technology. In contrast to the administrative-focused patterns observed in North America, adoption in China is practitioner-driven and centers on core clinical tasks, such as disease diagnosis (50.1%) and prescription calculation (44.8%). However, concerns regarding reliability and accuracy remain the primary barrier (54.3%), coexisting with a strong consensus (93.8%) for regulatory oversight. These findings suggest a unique "inside-out" integration model in China, characterized by high clinical utility but restricted by an "interpretability gap," underscoring the need for specialized tools and robust regulatory frameworks to safely harness AI's potential in this expanding market.
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