Disparities in clinical studies of AI enabled applications from a global perspective.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 39127820.
- Also identified by DOI 10.1038/s41746-024-01212-7 and PMC identifier 11316833.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.