Using artificial intelligence to predict outcomes for patients with acute kidney injury on dialysis
Artificial Intelligence to Predict Outcomes in Patients with Acute Kidney Injury on Continuous Renal Replacement Therapy
This study is looking to help doctors better predict how critically ill patients with acute kidney injury might recover while they are on a special kidney treatment, using advanced technology to personalize their care and improve their chances of getting better.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Alabama at Birmingham NIH-funded |
| Lab location | 1 site (Birmingham, United States) |
| Project ID | NIH-11018619 on NIH RePORTER |
What this research studies
This research focuses on improving the prediction of survival and kidney recovery in critically ill patients suffering from acute kidney injury (AKI) who are undergoing continuous renal replacement therapy (CRRT). By utilizing advanced artificial intelligence techniques, particularly deep learning, the study aims to develop accurate risk prediction models that can guide clinical decision-making and personalize care for these patients. The research will also explore patient sub-phenotypes to identify those at varying risks of recovery, ultimately enhancing treatment strategies. The goal is to provide timely and actionable insights that can improve patient outcomes in intensive care settings.
Who could benefit from this research
Good fit: Ideal candidates for this research are critically ill patients admitted to intensive care units who are experiencing acute kidney injury and require continuous renal replacement therapy.
Not a fit: Patients who do not have acute kidney injury or those who are not critically ill may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to better prediction of recovery outcomes for patients with acute kidney injury, allowing for more tailored and effective treatment plans.
How similar studies have performed: Other research has shown promise in using artificial intelligence for predicting patient outcomes in critical care settings, indicating that this approach could be effective.
Where this research is happening
Birmingham, United States
- University of Alabama at Birmingham — Birmingham, United States (Active)
Researchers
- Principal investigator: Neyra, Javier a. — University of Alabama at Birmingham
- Study coordinator: Neyra, Javier a.
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 below.