Prospects of Using Artificial Intelligence in Productive Veterinary Medicine

Project ID: 22620057
Implementation period: 1 November 2026 – 30 April 2029
Supported by: International Visegrad Fund, €43,000.

About the Project

The project brings together research institutions from Poland, Hungary, the Czech Republic, and Slovakia to develop and implement an artificial intelligence (AI)-based approach to improving dairy-cattle health monitoring and mastitis prevention.

The project integrates farm-level data collection, microbiological and laboratory analyses, assessment of dairy-cow health and welfare, and the development of a shared database and an AI-based predictive module. The resulting system is intended to support the prediction, early detection, and prevention of mastitis, contributing to improved animal health, milk quality, and dairy-farm management across the V4 countries.

Project Objectives

The project aims to:

• collect and integrate health, production, environmental, and microbiological data from dairy farms in the participating V4 countries;
• establish a shared database of mastitis-related information;
• develop an AI-based predictive module for mastitis monitoring and prevention;
• facilitate scientific cooperation and knowledge exchange among the participating institutions;
• provide practical training and demonstrate the application of the developed AI system;
• disseminate project results through methodological guidelines, scientific publications, workshops, meetings, and the project website.

Project Partners

• Poland – Coordinating Institution
  Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences (IGAB PAS)
  Project Leader: Dr. Ibrahim Rehan
• Hungary
  University of Veterinary Medicine Budapest
  Project Partner: Dr. Kiss Dávid Sándor
• Czech Republic
  Mendel University in Brno
  Project Partner: Dr. Petr Sláma
• Slovakia
  University of Veterinary Medicine and Pharmacy in Košice
  Project Partner: Dr. František Zigo

Main Project Activities

• The project will include international research meetings, laboratory and research visits, farm-level sampling and analysis, development of the shared project database, development and implementation of the AI predictive module, and a practical workshop demonstrating its application.
• The project will conclude with the preparation of methodological guidelines and scientific publications and the dissemination of the project's scientific and practical outcomes.

Expected Outcomes

• The project is expected to establish a coordinated V4 research framework integrating veterinary medicine, dairy-cattle health monitoring, microbiological analysis, farm-level data collection, and artificial intelligence.
• A major project output will be an AI-supported predictive module designed to assist with mastitis monitoring, prediction, and prevention. The project is expected to contribute to improved animal health, milk quality, and dairy-farm management and to strengthen scientific cooperation among the participating V4 countries.

Project News and Updates

This webpage will be regularly updated with information on project activities, research visits, meetings, workshops, project progress, results, methodological outputs, and scientific publications throughout the implementation period.

Funding

This project is supported by the International Visegrad Fund.

International Visegrad Fund: www.visegradfund.org