Healthcare AI: A Bibliometric Review
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50192-0_36
Reference28 articles.
1. Secinaro, S., Calandra, D., Secinaro, A., Muthurangu, V., Biancone, P.: The role of artificial intelligence in healthcare: a structured literature review. BMC Med. Inform. Decis. Mak. 21(1), 125 (2021). https://doi.org/10.1186/s12911-021-01488-9
2. Fosso Wamba, S., Queiroz, M.M.: Responsible artificial intelligence as a secret ingredient for digital health: bibliometric analysis, insights, and research directions. Inf. Syst. Front., May 2021. https://doi.org/10.1007/s10796-021-10142-8
3. Chen, M., Decary, M.: Artificial intelligence in healthcare: an essential guide for health leaders. Healthc. Manage. Forum 33(1), 10–18 (2020). https://doi.org/10.1177/0840470419873123
4. Higaki, A., Uetani, T., Ikeda, S., Yamaguchi, O.: Co-authorship network analysis in cardiovascular research utilizing machine learning (2009–2019). Int. J. Med. Inf. 143, 104274 (2020). https://doi.org/10.1016/j.ijmedinf.2020.104274
5. Liang, C., Qiao, S., Olatosi, B., Lyu, T., Li, X.: Emergence and evolution of big data science in HIV research: bibliometric analysis of federally sponsored studies 2000–2019. Int. J. Med. Inf. 154, 104558 (2021). https://doi.org/10.1016/j.ijmedinf.2021.104558
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