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Disparities in clinical studies of AI enabled applications from a global perspective
npj Digital Medicine ( IF 12.4 ) Pub Date : 2024-08-10 , DOI: 10.1038/s41746-024-01212-7 Rui Yang 1 , Sabarinath Vinod Nair 1 , Yuhe Ke 1, 2 , Danny D'Agostino 1 , Mingxuan Liu 1 , Yilin Ning 1 , Nan Liu 1, 3, 4
中文翻译:
从全球角度来看,人工智能应用的临床研究存在差异
更新日期:2024-08-11
npj Digital Medicine ( IF 12.4 ) Pub Date : 2024-08-10 , DOI: 10.1038/s41746-024-01212-7 Rui Yang 1 , Sabarinath Vinod Nair 1 , Yuhe Ke 1, 2 , Danny D'Agostino 1 , Mingxuan Liu 1 , Yilin Ning 1 , Nan Liu 1, 3, 4
Affiliation
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.
中文翻译:
从全球角度来看,人工智能应用的临床研究存在差异
人工智能(AI)在医学领域已得到广泛研究,但其实际应用仍然有限。与此同时,现有的人工智能临床研究存在各种差异,这对全球健康公平构成了挑战。在这项研究中,我们对 159 项人工智能临床研究的地缘经济分布以及这些研究之间的性别差异进行了深入分析。我们的目标是从全球文献的角度揭示这些差异,从而强调公平获取医疗人工智能技术的必要性。