Using AI to predict outcomes in acute stroke patients
Official title: Predicting Tissue and Functional Outcome in Acute Stroke
Funded at Stanford University · NIH-10900566 · Data updated 2026-11-12
This study is looking to improve how doctors quickly decide on the best treatment for stroke patients by using smart computer technology to combine brain scans and medical information, aiming to help patients get better care faster and safer.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project start | August 15, 2023 |
| Project end | July 31, 2028 |
| Funding year | 2024 |
| Award (this year) | $589,991 |
| NIH project number | 5R01NS130172-02 |
| Project ID | NIH-10900566 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals experiencing acute ischemic stroke who require urgent medical intervention.
✕Less likely to help
Patients with non-acute strokes or those who do not require endovascular thrombectomy may not benefit from this research.
What this research studies
This research aims to enhance the selection process for stroke patients needing urgent treatment by utilizing advanced AI techniques. It focuses on integrating imaging data from MR and CT scans with clinical information to predict patient outcomes more accurately. By developing deep learning models, the project seeks to improve the triage process and treatment effectiveness for acute ischemic stroke patients. The research will also explore the safety and efficiency of these methods without the need for contrast imaging.
Why it matters
Potential benefit: If successful, this research could lead to more effective and timely treatments for stroke patients, potentially improving recovery outcomes.
How similar studies have gone: Other research has shown promise in using AI for medical imaging and patient outcome predictions, indicating a strong potential for success in this approach.
Where this research is happening
-
Stanford University
Stanford, United States Active
Researchers
- Principal investigator: Zaharchuk, Gregory George — Stanford University
- Study coordinator: Zaharchuk, Gregory George
Related research
Other NIH-funded projects on the same topics.
-
In-bed wearable rehab robot to help stroke survivors recover movement
A wearable robotic device will be developed to help adults who recently had an acute stroke regain movement while still in the hospital.
-
When people are most at risk of another stroke after a minor stroke or TIA
Researchers are combining past trial data to find the timing of highest risk for a second stroke after a minor stroke or TIA so treatments can be better timed.
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Improving Participation after Stroke: Self-Management Rehab for Sub-Acute Stroke
A doctor- and patient-friendly program delivered virtually helps people who recently had a stroke feel more confident, stay active at home, and improve quality of life.
-
Targeting a brain inflammation regulator to protect cells after a stroke
Aims to test a new approach that tampers with a key brain cell regulator to reduce inflammation and protect brain tissue after a stroke, potentially lowering disability.
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Predicting brain tissue outcome after acute stroke using AI
A researchers at Stanford are testing an AI system that uses brain scans and clinical data to predict which parts of the brain will recover after an acute stroke and how treatment might help.
-
Helping brain recovery for people with severe paralysis after a recent stroke
This project builds a wearable in-bed robot to give gentle movement and sensory training to adults with severe weakness right after a stroke.
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.