Article Figures & Data
Figures
- Figure 1
- Artificial intelligence implementation framework for infection control.
- Figure 2
- Challenges and solutions in artificial intelligence integration for infection control.
Tables
Region Percentage of patients acquiring HAIs Source Developed countries 7–10% WHO (2022)4 Developing countries 10–15% WHO (2022)4 WHO: World Health Organization
- Table 2
- Applications of artificial intelligence (AI) in infection control and their impacts.
AI application Impact Study reference Predictive modeling Improved prediction of HAIs Baddal et al13 Robotics and automation Reduced transmission of pathogens Nerandzic et al14 Machine learning Early detection of multidrug-resistant pathogens Mora-Jiménez et al15 Natural language processing Identification of HAI risk factors Huang et al16 Computer vision Enhanced hand hygiene compliance Yang et al17 Antimicrobial stewardship analytics Optimized antimicrobial use Schuetz et al9 AI-assisted HAI surveillance Accurate identification of HAIs Wiemken & Carrico7 HAIs: hospital-acquired infections, AI: artificial intelligence
In this issue
Jump to section
Related Articles
Cited By...
- No citing articles found.