Computer Vision and Deep Learning in Small Animal Cytology and Slide Review
Abstract
Computer vision (CV) is an emerging application of artificial intelligence (AI) with growing relevance to veterinary cytology. This review provides a foundational overview of CV concepts and model architectures and summarizes current research progress in small animal cytology, including blood smear examination. The author discusses trends in scientific validation, industrial implementation, and regulatory oversight, highlighting gaps in transparency and standardization. Educational needs, professional guidelines, and concerns regarding deskilling and workforce impact are also discussed. Together, this review aims to support informed adoption of CV tools while emphasizing the importance of validation, professional oversight, and AI literacy in veterinary practice.
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