Artificial Intelligence And Machine Learning In Antimicrobial Stewardship Programs: Scoping Review Protocol - Info and Reading Options
By Amy Kang, Philip Tran, Ivan Portillo, Emi Minejima and Tien Dinh
“Artificial Intelligence And Machine Learning In Antimicrobial Stewardship Programs: Scoping Review Protocol” Metadata:
- Title: ➤ Artificial Intelligence And Machine Learning In Antimicrobial Stewardship Programs: Scoping Review Protocol
- Authors: Amy KangPhilip TranIvan PortilloEmi MinejimaTien Dinh
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- Internet Archive ID: osf-registrations-5uxp4-v1
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"Artificial Intelligence And Machine Learning In Antimicrobial Stewardship Programs: Scoping Review Protocol" Description:
The Internet Archive:
Antimicrobial stewardship programs (ASPs) play a crucial role in promoting the appropriate use of antibiotics to combat antimicrobial resistance. ASPs encompass various strategies, including prospective audit with feedback, local guidelines implementation, education, and among others. However, implementing and maintaining ASPs can be resource-intensive, limiting their effectiveness and creating challenges for optimal ASP operations. Recent advancements in artificial intelligence (AI) and machine learning (ML) present promising opportunities to enhance the effectiveness of ASPs. Despite the potential benefits, there is a knowledge gap regarding the use of AI and ML in ASPs. Although some studies have shown positive outcomes using AI and ML in various healthcare applications, their specific impact on ASPs remains underexplored. This review aims to address this gap by providing an overview of the current state of research on AI and ML in ASPs, thereby informing actionable applications and guiding future research.
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"Artificial Intelligence And Machine Learning In Antimicrobial Stewardship Programs: Scoping Review Protocol" is available for download from The Internet Archive in "data" format, the size of the file-s is: 0.20 Mbs, and the file-s went public at Sat Mar 08 2025.
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- Number of Files: 5
- Number of Available Files: 5
- Added Date: 2025-03-08 22:00:27
- Scanner: Internet Archive Python library 1.9.9
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