Artificial intelligence in acute care: A systematic review, conceptual synthesis, and research agenda

Author:

Meyer Lea Mareen,Stead Susan,Salge Torsten Oliver,Antons David

Funder

German Federal Ministry of Health

Publisher

Elsevier BV

Reference171 articles.

1. The complexity of context: a service ecosystems approach for international marketing;Akaka;J. Int. Mark.,2013

2. Akter, S., Hossain, M. A., Sajib, S., Sultana, S., Rahman, M., Vrontis, D., McCarthy, G., 2023. A framework for AI-powered service innovation capability: review and agenda for future research. Technovation 125, 102768. doi:https://doi.org/10.1016/j.technovation.2023.102768.

3. Aleksandra, S., Robert, K., Klaudia, K., Dawid, L., Mariusz, S., 2024. Artificial intelligence in Optimizing the functioning of emergency departments; a systematic review of current solutions. Arch. Acad. Emerg. Med. 12 (1), e22. doi:10.22037/aaem.v12i1.2110.

4. Failure-driven innovation;Alexander,2015

5. Development and validation of an interpretable clinical score for early identification of acute kidney injury at the emergency department;Ang;Sci. Rep.,2022

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