人工智能在兽医临床病理学中的应用综述

IF 1.1 4区农林科学 Q3 VETERINARY SCIENCES

Veterinary clinical pathology Pub Date : 2025-06-03 DOI:10.1111/vcp.70012

Samuel V Neal, Daniel G Rudmann, Kara N Corps

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引用次数: 0

摘要

人工智能（AI），特别是通过机器学习和深度学习，为增强兽医临床病理学家的工作流程提供了机会。本文以非技术的方式介绍人工智能的基本概念，探讨人工智能在兽医临床病理学中的资格和整合。兽医临床病理学家必须在确定这些方法的预期用途，设计和资格以及在实践中监督其负责任应用的计划方面发挥积极作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Artificial Intelligence in Veterinary Clinical Pathology-An Introduction and Review.

Artificial intelligence (AI), particularly through machine learning and deep learning, presents opportunities for the enhancement of the workflow of the veterinary clinical pathologist. This review introduces basic concepts in AI in a nontechnical manner and explores the qualification and integration of AI in veterinary clinical pathology. The veterinary clinical pathologist must play an active role in defining the intended use, design, and qualification of these methods as well as the plan for monitoring their responsible application in practice.

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来源期刊

Veterinary clinical pathology 农林科学-兽医学

CiteScore

1.70

自引率

16.70%

发文量

133

审稿时长

18-36 weeks

期刊介绍： Veterinary Clinical Pathology is the official journal of the American Society for Veterinary Clinical Pathology (ASVCP) and the European Society of Veterinary Clinical Pathology (ESVCP). The journal''s mission is to provide an international forum for communication and discussion of scientific investigations and new developments that advance the art and science of laboratory diagnosis in animals. Veterinary Clinical Pathology welcomes original experimental research and clinical contributions involving domestic, laboratory, avian, and wildlife species in the areas of hematology, hemostasis, immunopathology, clinical chemistry, cytopathology, surgical pathology, toxicology, endocrinology, laboratory and analytical techniques, instrumentation, quality assurance, and clinical pathology education.