Artificial Intelligence and its Application in the Prediction and Diagnosis of Animal Diseases: A Review
Abstract
The role of artificial intelligence (AI) in veterinary science is becoming increasingly important as the technology advances. AI applications have the potential to revolutionize the prediction and diagnosis of animal diseases, thereby improving animal health by enhancing disease management. Given the complexity and subjectivity associated with evaluating medical images, as well as the difficulties inherent in handling animals, automating the analysis process using deep learning and artificial intelligence techniques would be highly beneficial. The main focus of the research study is to examine the applications of artificial intelligence in the prediction and diagnosis of Animal Diseases by the comprehensive process of literature review. It was found that many researchers have been using these techniques for diagnosis from the images, creating software that can help doctors, veterinarians and radiologists in their day-to-day work. The study includes machine learning and deep learning algorithms like PLS-DA, ANN and CNN models for the prediction and characterization of lesions. The results were analyzed and compared to obtain a high-accuracy model.
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