University of Mannheim, Mannheim, Germany.
Heidelberg Institute of Global Health (HIGH), Medical School, Heidelberg University, Heidelberg, Germany.
Nat Commun. 2024 Sep 12;15(1):7527. doi: 10.1038/s41467-024-51714-x.
Artificial intelligence (AI) promises to transform medicine, but the geographic concentration of AI expertize may hinder its equitable application. We analyze 397,967 AI life science research publications from 2000 to 2022 and 14.5 million associated citations, creating a global atlas that distinguishes productivity (i.e., publications), quality-adjusted productivity (i.e., publications stratified by field-normalized rankings of publishing outlets), and relevance (i.e., citations). While Asia leads in total publications, Northern America and Europe contribute most of the AI research appearing in high-ranking outlets, generating up to 50% more citations than other regions. At the global level, international collaborations produce more impactful research, but have stagnated relative to national research efforts. Our findings suggest that greater integration of global expertize could help AI deliver on its promise and contribute to better global health.
人工智能（AI）有望改变医学，但 AI 专业知识的地域集中可能会阻碍其公平应用。我们分析了 2000 年至 2022 年的 397967 篇 AI 生命科学研究出版物和 1450 万篇相关引文，创建了一个全球图谱，区分了生产力（即出版物）、质量调整后的生产力（即根据出版机构的排名进行了标准化的出版物）和相关性（即引文）。虽然亚洲在总出版物方面处于领先地位，但北美和欧洲在高排名出版物中贡献了大部分 AI 研究，产生的引文比其他地区多 50%。在全球层面上，国际合作产生了更有影响力的研究，但相对于国家研究努力而言已经停滞不前。我们的研究结果表明，更大程度地整合全球专业知识可能有助于 AI 实现其承诺，并为全球健康做出贡献。
