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Editorial
. 2022 Jul;28(3):185-187.
doi: 10.4258/hir.2022.28.3.185. Epub 2022 Jul 31.

Application Strategies for Artificial Intelligence- based Clinical Decision Support System: From the Simulation to the Real-World

Sook Hyun Park  1 , Won Chul Cha  2   3   4
Affiliations
Editorial

Application Strategies for Artificial Intelligence- based Clinical Decision Support System: From the Simulation to the Real-World

Sook Hyun Park et al. Healthc Inform Res. 2022 Jul.
No abstract available

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Conflict of interest statement

Conflict of Interest

No potential conflict of interest relevant to this article was reported.

Figures

Figure 1
Figure 1
Screenshots of a nursing AI-CDSS for pressure injury. The system is designed to predict patients at risk of developing a pressure injury, and it also provides a personalized interpretation of the components that contributed to the outcome. AI-CDSS: artificial intelligence clinical decision support system.
Figure 2
Figure 2
The process of applying an AI-CDSS to a real-world setting. The procedure demonstrates the distinction between algorithms utilized in practice. In each configuration, variables and algorithms are seen and selected differently. AI-CDSS: artificial intelligence clinical decision support system.
See this image and copyright information in PMC

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