Autor: |
Rui Yang, Sabarinath Vinod Nair, Yuhe Ke, Danny D’Agostino, Mingxuan Liu, Yilin Ning, Nan Liu |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
|
Zdroj: |
npj Digital Medicine, Vol 7, Iss 1, Pp 1-3 (2024) |
Druh dokumentu: |
article |
ISSN: |
2398-6352 |
DOI: |
10.1038/s41746-024-01212-7 |
Popis: |
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. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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