کاربرد هوش مصنوعی در حوزۀ علوم وترنری

Authors

  • علی رضا میرزایی
  • ذبیح الله فصیحی

Keywords:

دیـپ ل یرن ینـگ, شـــبکـه عصـــبی کانولشـــنی, علوم وتــرنــری, هــوش مصنوعی, اشین لیرنینگ

Abstract

Recently, artificial intelligence (AI) develop in the field of health and medicine.

 

AI has simplified manual tasks and allows experts to focus on vital

 

responsibilities. While artificial intelligence dose complex processes, this

 

transformation is not limited to human healthcare and also extends to veterinary

 

medicine. AI enhances predictive analytics and diagnostic capabilities of

 

animals. So, the present review topic provides a comprehensive overview of the

 

diverse applications of AI in the field veterinary science. This research, using a

 

descriptive and library-based study approach, has collected and reviewed

 

reliable scientific information and examined the wide applications of artificial

 

intelligence in improving the diagnosis, treatment, and management of diseases

 

in the field of veterinary science. The result of this study shows which AI

 

enhance accuracy and speed of diagnosing animal diseases by utilizing machine

 

learning algorithms and convolutional neural networks. This technology

 

possesses the capability to analyze medical images, physiological and genomic

 

data, as well as laboratory samples, providing more precise diagnoses compared

 

to traditional methods. AI plays a vital role in disease prognosis, personalized

 

treatment, improving artificial insemination, and the development of veterinary

 

drugs, in addition, AI Provides intelligent interactions between chatbots and

 

veterinarians. The development of large-scale datasets and specialized training

 

for veterinary experts are the most important factors for the widespread and

 

successful implementation of this technology in the future of veterinary science.

Published

2026-07-12

How to Cite

میرزایی ع. ر., & فصیحی ذ. ا. (2026). کاربرد هوش مصنوعی در حوزۀ علوم وترنری. Kohandazh Academic & Research Journal, 13(1), 132–145. Retrieved from https://karj.kundoz.edu.af/index.php/karj/article/view/142

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