Artificial Intelligence in Veterinary Surgical Research: Current Applications and Prospects

Artificial intelligence (AI) has made great modification in human surgical research. Opportunities still exist for their application in veterinary surgical sciences with potentially transformative implications for animal health together with comparative medicine research.

The objective of this review was to investigate what AI can currently do and what it might do in the future in terms of veterinary surgical research during the whole procedural process, which consists of pre, intra, and postoperative contributions, limitations, and future directions. Literature was searched to find out the use of AI in veterinary surgical sciences, a thorough literature search was conducted in the following databases (PubMed, Scopus, CAB Abstracts, Web of Science) and articles from the year 2018 to 2025 were evaluated.

The studies were categorized based on pre, intra and postoperative application and a cross analysis of data management, ethics and translational applicability was carried out. The applications of AI in veterinary surgical research are advanced, with a focus mainly on preoperative diagnostic imaging and post operative histopathologic analysis. Machine learning models have the potential to accurately choose surgical cases, predict the results, and even assess the outcomes with a precision of more than 85.0% of the result.

However, the intraoperative application of AI tools in veterinary practice is not as developed as in human surgery, mainly due to the scarcity of veterinary specialists' technological adaptation problems. AI is expected to revolutionize veterinary surgical research; however, it needs cooperations, uniform data gathering rules, and the creation of algorithms for different animal species.

Authors: Turki K. Almalki, Mohamed A. Marzok, Zakriya Al Mohamad, Abdelrahman Hereba, Mohamed W. El-Sherif, Mahmoud A. Hassan, Mahmoud S. Saber

Source: https://ejvs.journals.ekb.eg/

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