兽医临床病理学的人工智能 - - 一个介绍和审查
Samuel V Neal1, Daniel G Rudmann2, Kara N Corps1
1Department of Veterinary Biosciences, College of Veterinary Medicine, Ohio State University, Columbus, Ohio, USA.
Veterinary clinical pathology
|June 4, 2025
概括
人工智能 (AI) 可以改善兽医临床病理学工作流程. 兽医必须指导人工智能开发,并确保在实践中负责任地使用它.
科学领域:
- 兽医医学 兽医医学 兽医医学
- 人工智能的人工智能
- 临床病理学 临床病理学
背景情况:
- 人工智能 (AI),包括机器学习和深度学习,为推进兽医临床病理学提供了巨大的潜力.
- 目前的兽医临床病理学工作流程可以从人工智能驱动的改进中受益.
研究的目的:
- 为兽医专业人员以非技术的方式引入基本的AI概念.
- 在兽医临床病理学中探索AI工具的资格和整合策略.
- 强调兽医临床病理学家在人工智能实施中的关键作用.
主要方法:
- 审查与兽医诊断相关的AI概念.
- 探索人工智能资格框架.
- 讨论人工智能在临床病理学中的实际整合.
主要成果:
- 人工智能为加强兽医临床病理学提供了可行的机会.
- 人工智能资格和整合需要一个结构化的方法.
- 兽医病理学家对于指导AI的作用至关重要.
结论:
- 人工智能,包括机器学习和深度学习,可以优化兽医临床病理.
- 兽医临床病理学家必须积极参与定义AI的应用,设计和资格.
- 负责任的监测和实施计划对于在兽医实践中成功采用人工智能至关重要.
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