Machine learning/AI/data analysis – what is necessary to make a DVM spend time with data analysis today?
Year: 2025
Type: conference-paper
Abstract: Food animal practices are increasingly involved in receiving and processing data, for example from herd management programs, to derive evidence-based decisions for their consultancy work. Precision medicine and artificial intelligence (AI) -enhanced tools for the generation of data, data editing, and the analysis of data are here to stay. While DVMs are food animal disease, prevention and production experts, they are often not trained to analyze such complex data streams, and one of the reasons may be because they “did not sign up for this”. With the focus on AI-enhanced and multiple machine learning (ML) tools available to food animal practice, deriving decisions and analysis from data streams is more than “hiring some computer scientist” to do it. A DVM consultant’s time should be increasingly saleable for the value that veterinary expertise brings to deriving information from data sets and for making predictions about life outcomes of food animals among which cattle.
Author: Dorte Dopfer
Institution: University of Wisconsin–Madison
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W4408882111