From Pixels to Pathology: Integrating AI in Veterinary Cytology and Histopathology

Artificial intelligence (AI) is transforming the landscape of diagnostic pathology, offering powerful tools to enhance efficiency, accuracy, and reproducibility in cytology and histopathology. This session will explore how AI-driven algorithms can assist veterinary pathologists and clinicians in interpreting digital pathology images, streamlining workflows, and improving diagnostic confidence.

Attendees will gain insight into the fundamental principles of AI applications in image analysis, including machine learning models designed for cytologic and histologic evaluation. We will discuss real-world implementations of AI in veterinary pathology, covering automated cell classification, quantification of histologic features, and AI-based prognostic assessment for disease outcomes. Case-based examples will illustrate how AI can complement expert interpretation by identifying  morphological patterns and reducing interobserver variability.

Beyond technical advancements, we will address practical considerations for integrating AI into clinical practice. Topics will include the requirements for AI model development, validation strategies, and challenges in deployment within diagnostic laboratories. Additionally, we will discuss the importance of AI literacy among veterinary professionals, emphasizing the need for critical assessment of AI-generated outputs and an understanding of potential biases.

This session is designed for veterinary specialists, including internists, oncologists, who are interested in leveraging AI to enhance diagnostic precision. By the end of the talk, participants will have a clearer understanding of AI’s current capabilities, limitations, and future potential in veterinary cytology and histopathology.