Digitalization of Veterinary Pathology in the Era of Artificial Intelligence: A Comprehensive Review | ||
| Benha Veterinary Medical Journal | ||
| Article 18, Volume 49, Issue 1, October 2025, Pages 100-110 PDF (517.58 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/bvmj.2025.416499.1980 | ||
| Author | ||
| Ahmed Fotouh* | ||
| Department of Pathology and Clinical Pathology, Faculty of Veterinary Medicine, New Valley University | ||
| Abstract | ||
| The digitalization of veterinary pathology, enhanced by the integration of artificial intelligence (AI), is reshaping the landscape of animal disease diagnosis, education, and research in the era of AI. This transformation involves converting traditional glass slides into high-resolution whole-slide images (WSIs), enabling remote access, long-term storage, and more efficient analysis of tissue specimens. When combined with AI technologies such as machine learning and deep learning, digital pathology offers powerful tools for automated image interpretation, disease classification, and pattern recognition, significantly improving diagnostic speed, accuracy, and consistency. In veterinary medicine, where species diversity and limited access to specialized pathologists present unique challenges, digital pathology supported by AI provides innovative solutions for both clinical and academic settings. The informatics infrastructure provides for the storage, recall, and secure dissemination of digital slides and associated metadata among geographically distant institutions, circumventing the past limitations of physical slide transport and specialist availability. Despite hurdles such as high implementation costs, lack of standardized protocols, and the need for large annotated datasets, ongoing advancements and increasing global collaboration are accelerating the adoption of these technologies. | ||
| Keywords | ||
| Digital Pathology; AI; veterinary | ||
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