A recent article in Veterinary Pathology journal provided a review on the use of Natural language processing (where machines work to understand, interpret, and generate human language in a way that is both meaningful and useful e.g., chatGPT) in veterinary pathology.
This review by Stimmer et al (2025), highlights NLP as a powerful AI tool to improve diagnostics, research, and education in the field. NLP enables automated handling of pathology data, can assist in report generation, and enhance workflow efficiency by often handling large, unstructured biomedical text. The authors emphasise that NLP tools could reduce routine task burdens while supporting diagnostic accuracy, although validation with expert pathologists remains essential to avoid biases and errors and is routinely included in the evaluation of models at Zytca Animal Health. The review also discusses challenges in integrating NLP widely, such as the need for specialised training and ethical oversight, and promotes NLP as complementary to veterinary pathologist expertise rather than a replacement. This latter point also introduces the often placed concern by pathologists of AI altering their job security.
- Stimmer et al. (2025) review the applications and benefits of NLP in veterinary pathology, including diagnostics, training and education of pathologists, and workflow efficiency.
- They highlight both promise and challenges, emphasizing the need for validation by expert pathologists and considered ethical governance.
- AniPathTM by Zytca Animal Health likely represents a practical application of these NLP technologies, improving pathology reporting and diagnostic assistance relevant to both reporting diagnostic pathologists and onward to veterinary clinicians.
At Zytca Animal Health we are developing NLP to assist with diagnostic pathology reporting through AniPathTM; a veterinary diagnostic support platform, where it leverages NLP to analyse pathology text data, automate classification of histopathological findings, and improve consistency and speed in diagnostic workflows.
The integration of NLP in systems like AniPathTM underscores the evolving role of AI as a complementary tool enhancing veterinary pathology.
For more information on AI model development and our commitment to improving veterinary diagnostics, please visit Zytca Animal Health AI-powered Histopathology Pet Cancer Diagnosis – ZYTCA | Advanced Veterinary PCR Diagnostics for Animal Health
