The global geography of artificial intelligence in life science research
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 distingui...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
[London]
Springer Nature
12 September 2024
|
| In: |
Nature Communications
Year: 2024, Jahrgang: 15, Pages: 1-12 |
| ISSN: | 2041-1723 |
| DOI: | 10.1038/s41467-024-51714-x |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1038/s41467-024-51714-x Verlag, kostenfrei, Volltext: https://www.nature.com/articles/s41467-024-51714-x Verlag, lizenzpflichtig: https://madoc.bib.uni-mannheim.de/67901 
|
| Verfasserangaben: | Leo Schmallenbach, Till W. Bärnighausen & Marc J. Lerchenmueller |
| Zusammenfassung: | 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. |
|---|---|
| Beschreibung: | Gesehen am 23.10.2024 |
| Beschreibung: | Online Resource |
| ISSN: | 2041-1723 |
| DOI: | 10.1038/s41467-024-51714-x |