Using AI to improve decision-making in intensive care units
Official title: Intelligent Intensive Care Unit (I2CU): Pervasive Sensing and Artificial Intelligence for Augmented Clinical Decision-making
Funded at University of Florida · NIH-10769812 · Data updated 2026-11-12
This study is working on new tools that use artificial intelligence to help doctors and nurses in intensive care units keep a closer eye on patients by looking at things like facial expressions and movements, so they can make better decisions and help patients more quickly.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Florida NIH-funded |
| Lab location | 1 site (Gainesville, United States) |
| Project start | April 1, 2021 |
| Project end | December 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $587,345 |
| NIH project number | 5R01EB029699-04 |
| Project ID | NIH-10769812 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are critically ill patients who require intensive monitoring in an ICU.
✕Less likely to help
Patients who are not in critical condition or do not require intensive care may not benefit from this research.
What this research studies
This research aims to enhance patient monitoring in intensive care units (ICUs) by developing advanced tools that utilize artificial intelligence to assess patients' conditions more accurately and autonomously. By analyzing visual cues such as facial expressions, posture, and mobility, alongside clinical data, the project seeks to provide healthcare providers with real-time insights into patient acuity. The goal is to reduce reliance on subjective clinical judgment and improve the overall workflow in critical care settings. This innovative approach could lead to better patient outcomes by enabling timely interventions based on precise assessments.
Why it matters
Potential benefit: If successful, this research could lead to improved patient monitoring and outcomes in critical care settings.
How similar studies have gone: Other research has shown promise in using AI for patient monitoring, indicating that this approach could lead to significant advancements in critical care.
Where this research is happening
-
University of Florida
Gainesville, United States Active
Researchers
- Principal investigator: Rashidi, Parisa — University of Florida
- Study coordinator: Rashidi, Parisa
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.