The need of a proof-of-concept in artificial intelligence-based health-related quality of life instruments in veterinary medicine

Abstract

The current state of the art of health-related quality of life (HRQoL) and quality of life in the animal health industry highlights the limitations of existing methodologies and the potential of artificial intelligence (AI) to overcome these limitations. AI has the potential to revolutionize many aspects of healthcare, including HRQoL assessment, leading to more efficient and accurate measurement and personalized medicine. AI in psychometrics can improve cognitive and behavioral assessments and lead to new insights into animal reactions and perceptions. A proof of concept (POC) study is used to assess the feasibility of an AI-based solution. In the next decade, AI-based HRQoL instruments in veterinary medicine are expected to emerge and become widely distributed, making them easily accessible for practical use in daily practice.