الملخص

Artificial intelligence (AI) has emerged as a transformative technology in field of veterinary medicine and comparative oncology, permitting rapid and accurate analysis of complex clinical, histopathological, imaging, and genomic datasets. The Traditional diagnostic and prognostic procedures, although effective, are often limited by time constraints, subjective interpretation, and difficulties in processing large-scale data. Recent advances in machine learning (ML), deep learning (DL), computational pathology, and radiomics have enhanced the ability to predict, diagnose, and manage animal diseases with improved precision. The purpose of this review is to summarize and assess current applications of AI in animal disease diagnosis and prognosis, with particular emphasis on veterinary oncology and One Health perspectives. This review focuses on animal health data and veterinary clinical applications while also discussing the wider implications for human and environmental health.The reviewed studies reveal that AI-based analytical models can successfully integrate histological, clinical, imaging, and genomic information for improving disease detection, prognostication, treatment planning, and outcome prediction in animals. The deep learning and radiomics methods showed promising diagnostic performance across several veterinary modalities, principally in cancer detection and pathological assessment. Besides, AI technologies contribute to reducing the diagnostic time, lowering healthcare costs, increasing the accuracy, and supporting precision veterinary medicine. However, important challenges remain, including data heterogeneity, limited dataset availability, algorithmic bias, lack of interpretability, controlling concerns, and insufficient real-world clinical validation. In conclusion, AI has significant potential to revolutionize veterinary diagnostics and disease management by enabling more accurate and personalized approaches to animal healthcare. Collaboration among veterinarians, veterinary researchers, and commercial AI developers will be essential to achieve reliable clinical integration and maximize the benefits of AI technologies. Through the One Health framework, advancements in veterinary AI may also contribute to improving human health and environmental sustainability.