Event | Model for ASsessing the value of Artificial Intelligence in imaging (MAS-AI)

Date: April 21
Time: 12.30-13.30
Place: Campus Kolding, room 31.01

Artificial intelligence (AI) is expected to significantly transform healthcare, yet methods for evaluating its value remain unclear. To address this challenge, a multidisciplinary group of experts and patients developed the Model for ASsessing the value of AI (MAS-AI) in medical imaging, a domain where AI applications are relatively mature and supported by substantial empirical evidence. The model was developed through three phases: a literature review of existing frameworks for evaluating AI in medical imaging, interviews with leading AI researchers in Denmark, and two multidisciplinary workshops involving decision-makers, patient organizations, and researchers. The framework was iteratively refined based on feedback from these workshops.

MAS-AI consists of two main steps covering nine domains and five supporting process factors. The first step focuses on describing the patient population, the development of the AI model, and initial ethical and legal considerations. The second step involves a multidisciplinary assessment of the outcomes of the AI application across five domains: safety, clinical aspects, economic implications, organizational factors, and patient-related aspects. Overall, MAS-AI provides a health technology assessment–based framework designed to support structured, transparent, and informed decision-making regarding the adoption of AI technologies in medical imaging.