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

Area of Science:

• Healthcare technology assessment
• Medical imaging artificial intelligence (AI)

Background:

• Artificial intelligence (AI) is poised to transform healthcare, but its value assessment remains challenging.
• Medical imaging represents a mature field for AI application, necessitating a robust evaluation framework.

Purpose of the Study:

• To develop a multidisciplinary framework for assessing the value of AI in medical imaging.
• To ensure informed and transparent decision-making regarding AI adoption in healthcare.

Main Methods:

• A three-phase development process including literature review, expert interviews, and multidisciplinary workshops.
• Iterative revision of the framework based on feedback from decision-makers, patient organizations, and researchers.

Main Results:

• The developed Model for ASsessing the value of AI (MAS-AI) comprises a two-step guideline.
• The guideline covers nine domains and five process factors, including patient and AI model descriptions, ethical considerations, safety, clinical, economic, organizational, and patient aspects.

Conclusions:

• A health technology assessment-based framework (MAS-AI) is established to support AI introduction in medical imaging.
• MAS-AI provides a structured process and tool for valid decision-making and enhanced transparency in AI adoption.