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Disparities in clinical studies of AI enabled applications from a global perspective
Rui Yang1, Sabarinath Vinod Nair1, Yuhe Ke1,2
1Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.
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.
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