Artificial intelligence empowering rare diseases: a bibliometric perspective over the last two decades
Over two decades, research on the AI applications in RDs has made remarkable progress and shown promising results in the development. Advancing international transboundary cooperation is essential moving forward. Utilizing AI will play a more crucial role across the spectrum of RDs management, encompassing rapid diagnosis, personalized treatment, drug development, data integration and sharing, and continuous monitoring and care.
Authors
- Chen Liu (ORCID: https://orcid.org/0000-0001-5149-2496)
- Ru Wen (ORCID: https://orcid.org/0009-0008-6603-0671)
- Jian Wang (ORCID: https://orcid.org/0000-0003-2291-640X)
- Linfeng Shi (ORCID: https://orcid.org/0000-0002-1419-2811)
- Peiling Ou
Institutions
- Army Medical University (CN)
- Southwest Hospital (CN)
Publication Details
- Journal
- Orphanet Journal of Rare Diseases
- Published
- 2024-09-13
- DOI
- https://doi.org/10.1186/s13023-024-03352-1
- Citations
- 7
- Primary Topic
- Genomics and Rare Diseases
- Type
- article
- Field-Weighted Citation Impact
- 3.85
Funders
- National Natural Science Foundation of China
- Army Medical University