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人工智能在兽医科学中的应用和考虑:叙述性审查

Hesameddin Akbarein¹, Mohammad Hussein Taaghi², Mahyar Mohebbi³

¹Department of Food Hygiene & Quality Control, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran.

Veterinary medicine and science

|April 2, 2025

概括

人工智能 (AI) 正在通过预测分析和诊断来增强动物护理来改变兽医. 这篇评论探讨了人工智能.

科学领域:

兽医科学兽医科学兽医科学
动物健康中的人工智能
机器学习应用机器学习应用

背景情况:

人工智能 (AI) 正通过自动化任务和改进复杂程序来彻底改变人类医疗保健.
人工智能的影响扩展到兽医,提高动物护理标准.
人工智能集成提供了显著的优势,包括改善可访问性,治疗效率和医疗保健系统的资源配置.

研究的目的:

在兽医科学中对人工智能应用进行全面的审查.
将人工智能应用分类为临床实践,生物医学研究,公共卫生和行政.
检查机器学习算法和兽医AI的新兴趋势.

主要方法:

在兽医中对人工智能应用的文献综述.
在四个关键领域对人工智能应用进行分类.
分析机器学习算法和当前趋势.

主要成果:

人工智能应用是多样化的,涵盖临床实践,研究,公共卫生和兽医科学中的管理.
关键的机器学习算法被认为对人工智能在动物健康中的作用至关重要.
新兴趋势表明,人工智能在改善兽医标准和结果方面日益集成.

结论:

人工智能为兽医提供了重大进展,改善了诊断,治疗和整体动物护理.
该研究为进入兽医AI领域的研究人员和从业人员提供了宝贵的资源.
对人工智能应用的持续探索对于未来的动物健康和福利至关重要.

关键词:

人工智能的人工智能机器学习是机器学习.兽医科学兽医科学兽医科学

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