Using Machine Learning in Veterinary Medical Education: An Introduction for Veterinary Medicine Educators.

Hooper, S.E., Hecker, K.G., & Artemiou, E. (2023). Using Machine Learning in Veterinary Medical Education: An Introduction for Veterinary Medicine Educators. Veterinary Sciences, 10(9), 537. https://doi.org/10.3390/vetsci10090537

This primer introduces machine learning (ML) concepts to veterinary educators, highlighting its potential for enhancing veterinary education through improved learning, teaching, and assessments. The article contrasts ML with classical statistics and provides a worked example using simulated veterinary student data, employing a random forest ML model. Key considerations, such as handling incomplete student records, are discussed, and Python syntax is used to guide readers through the model-building process. The authors emphasize the need for transparency in ML projects and call for further research to establish guidelines for ML use in veterinary education.