Selvinaz Yakan
Artificial intelligence has become a transformative tool in veterinary medicine by enabling the early detection of animal diseases through data-driven analysis. By integrating machine learning, deep learning, and sensor-based technologies, artificial intelligence allows the identification of subtle physiological, behavioral, and production-related changes before the onset of clinical symptoms. This interdisciplinary approach supports preventive veterinary care, improves animal welfare, and enhances decision-making processes in both clinical and production systems. Through this work, the author aims to contribute to the scientific literature by presenting a comprehensive and doctoral-level evaluation of artificial intelligence applications in the early diagnosis of animal diseases.As the author, I hope to make a contribution to the field and the literature.
