Disparities in clinical studies of AI enabled applications from a global perspective
Rui Yang, Sabarinath Vinod Nair, Yuhe Ke, Danny D’Agostino, M. Liu, Yilin Ning, Nan Liu
Abstract
Artificial intelligence (AI) has been extensively researched in medicine, but its practical application remains limited. Meanwhile, there are various disparities in existing AI-enabled clinical studies, which pose a challenge to global health equity. In this study, we conducted an in-depth analysis of the geo-economic distribution of 159 AI-enabled clinical studies, as well as the gender disparities among these studies. We aim to reveal these disparities from a global literature perspective, thus highlighting the need for equitable access to medical AI technologies.
Topics & Concepts
Perspective (graphical)Data scienceComputer scienceArtificial intelligenceArtificial Intelligence in Healthcare and EducationBiomedical and Engineering EducationArtificial Intelligence in Healthcare