Using AI to predict outcomes for people on continuous dialysis for acute kidney injury
Artificial Intelligence to Predict Outcomes in Patients with Acute Kidney Injury on Continuous Renal Replacement Therapy
This project uses artificial intelligence to predict survival and whether kidneys will recover for ICU patients receiving continuous dialysis for acute kidney injury.
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-11309119 on NIH RePORTER |
What this research studies
If you are in the ICU with acute kidney injury and need continuous renal replacement therapy (continuous dialysis), researchers will use your routine health data to train deep learning models that predict survival and dialysis-free recovery. They will combine lab results, monitor data, treatments, and other clinical information to build and test these models. The team will also apply a Feasible Solution Algorithm to identify subgroups of patients who have different risks and might benefit from different care approaches. Models will be validated on separate patient datasets to check that predictions are accurate and reproducible.
Who could benefit from this research
Good fit: The ideal candidates are adult ICU patients with acute kidney injury who are receiving continuous renal replacement therapy (continuous dialysis).
Not a fit: People not in the ICU, those not receiving continuous dialysis, and patients on chronic maintenance dialysis are unlikely to directly benefit from this project.
Why it matters
Potential benefit: If successful, this could give doctors better, personalized information about likely survival and kidney recovery to guide dialysis decisions and post-ICU care.
How similar studies have performed: Some prior machine-learning work has predicted acute kidney injury outcomes, but accurate, widely accepted tools specifically for patients on continuous renal replacement therapy are limited, so this approach builds on prior AI work but remains relatively novel for this subgroup.
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.