Artificial intelligence (AI) is showing promise in multiple medical imaging applications. Yet rigorous evaluation of these methods is important before they are introduced into clinical practice.
A multi-institutional and multiagency team led by researchers at Washington University is outlining a framework for objective task-based evaluation of AI-based methods and outlining the key role that physicians play in these evaluations. They also are providing techniques to conduct such evaluations, particularly in positron emission tomography (PET).
A key challenge to the team is attention to the primacy of ‘trustworthy AI.’ This paper lays down a rigorous framework for evaluating AI methods in the direction of improving this trust.