MAS-AI (Model for Assessment of AI)
MAS-AI (Model for ASessment of Artificial Intelligence) is an evaluation tool that can help decision makers with the assessment and designation of AI technologies.
Assessment using MAS-AI provides an overview of which AI technologies create value, so that they can be appropriately selected, and technologies with no or inappropriate effect can be deselected.
The model is based on medical technology assessment and developed by an interdisciplinary group of experts, researchers and patient representatives.
An early MAS-AI includes four evaluation areas:
- The health problem and the current use of technology
- Technology
- Ethical aspects
- Legal aspects
A full MAS-AI has five additional evaluation areas:
- Security
- Clinical aspects
- Economy
- Organisation
- Patient perspectives
as well as five process factors that are recommended to be considered during the evaluation process.
An evaluation using MAS-AI can support the decision-making process when considering the use of artificial intelligence in healthcare as well as increase transparency for all parties involved.
Background for MAS-AI
Until now, there have been no models developed to evaluate the effect, value and consequences of AI, and therefore the Centre for Clinical AI (CAI-X) and the Centre for Innovative Medical Technology (CIMT) brought together a multidisciplinary group of healthcare professionals, AI experts, researchers, patient representatives and healthcare decision makers to develop a common framework for evaluating the value of an AI solution.
In 2022, the collaboration resulted in the MAS-AI model, which is the world’s first model to evaluate the value of AI in healthcare. Evaluation using MAS-AI can support the decision-making process in relation to the use of AI in healthcare and increase transparency for all parties involved.
Read more about the project behind the model here.
Learn more about MAS-AI by contacting postdoc Iben Fasterholdt.