Vol. 9, Issue 6, Part I (2024)

Author(s): Nripendra Singh, Srinivas Sathapathy, Ritun Patra, Mukesh Kumar, Surya Pratap Gond, Deepak Kumar Chaurasia, Shashi Tekam, Diksha Lade and Shveta Singh

Abstract: This review study, conducted at the Department of Veterinary Anatomy & Histology, College of Veterinary Science and Animal Husbandry, OUAT, Bhubaneswar, India, from August to September 2024, explores the role of artificial intelligence (AI) in identifying bones in veterolegal cases, highlighting its potential to enhance diagnostic accuracy and streamline forensic investigations. AI technologies, such as artificial neural networks (ANNs) and deep learning, offer significant advantages in veterinary education by providing personalized learning experiences. These technologies enable students to engage deeply with complex anatomical concepts through virtual dissections and simulations, leading to improved retention of essential knowledge for their future practice. In forensic applications, AI plays a pivotal role in improving the identification and classification of skeletal remains, even in challenging cases involving substantial decomposition. By analyzing large anatomical datasets, AI enhances the efficiency and precision of forensic investigations, contributing to more accurate findings and aiding in the resolution of veterolegal cases. The successful integration of AI into veterinary curricula requires educators to possess a fundamental understanding of AI principles, ensuring that future veterinary professionals are well-prepared to use these technologies effectively. In conclusion, incorporating AI into veterinary education and practice is a vital step in advancing veterinary anatomy and enhancing the overall efficacy of veterinary medicine. By equipping professionals with AI knowledge and skills, the veterinary field can better address modern challenges in animal health and welfare.