Medical Xpress January 24, 2025
Florida Atlantic University

Seasonal influenza, respiratory syncytial virus (RSV), and COVID-19 are actively circulating throughout the United States. These respiratory illnesses are contributing to widespread health concerns, with cases being reported in various regions nationwide.

Using and machine learning, researchers from Florida Atlantic University’s Christine E. Lynn College of Nursing and College of Engineering and Computer Science, in collaboration with Memorial Healthcare System, are pushing the boundaries in health care to foster innovation, enhance decision-making, and ultimately improve health outcomes for individuals and populations.

To predict the severity of COVID-19 and best therapeutic interventions during the pandemic, researchers established an AI-driven decision support system by identifying critical features influencing the severity of disease outcomes in patients hospitalized with COVID-19 in a...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Health System / Hospital, Patient / Consumer, Provider, Technology
DeepSeek Could Spur Enterprise AI Adoption, Experts Say
How AI Exclusion Impacts Humankind
Global AI Medical Imaging Market to Reach $4.5B by 2029
Podcast: Paige Nong Tracks the Use Of AI & Predictive Models In US Hospitals
Preventive Healthcare Poised for $773 Billion Expansion by 2034

Share This Article