An AI tool for quickly detecting strokes in emergency settings.
Official title: DeepStroke+: An Advanced Mobile AI Diagnostic Tool for Fast and Precise Detection of Acute Strokes in Mobile Stroke Units, Emergency Rooms, and Telestroke Triage
Funded at Methodist Hospital Research Institute · NIH-11022333 · Data updated 2026-11-12
This study is testing a new mobile app that uses smart technology to help doctors quickly and accurately identify strokes in patients, making sure they get the right care as soon as possible.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Methodist Hospital Research Institute NIH-funded |
| Lab location | 1 site (Houston, United States) |
| Project start | February 1, 2025 |
| Project end | January 31, 2030 |
| Funding year | 2025 |
| Award (this year) | $619,969 |
| NIH project number | 1R01NS140292-01 |
| Project ID | NIH-11022333 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals experiencing minor to moderate neurological symptoms suggestive of a stroke.
✕Less likely to help
Patients who are not experiencing any neurological symptoms or those with confirmed stroke diagnoses may not benefit from this research.
What this research studies
This research focuses on developing an advanced mobile application that utilizes artificial intelligence to enhance the detection and triage of stroke patients in various emergency settings, including mobile stroke units and emergency rooms. By analyzing multimedia patient data, such as facial videos, the tool aims to improve the accuracy of stroke assessments and reduce the number of missed diagnoses. The project will validate the effectiveness of this AI-driven approach in real-time scenarios, ensuring timely and appropriate care for stroke patients.
Why it matters
Potential benefit: If successful, this research could lead to faster and more accurate stroke diagnoses, significantly improving patient outcomes and reducing long-term disabilities.
How similar studies have gone: Previous research has shown promise in using AI for medical diagnostics, indicating that this approach could be effective, though the specific application for stroke detection is relatively novel.
Where this research is happening
-
Methodist Hospital Research Institute
Houston, United States Active
Researchers
- Principal investigator: Wong, Stephen Tc — Methodist Hospital Research Institute
- Study coordinator: Wong, Stephen Tc
Related research
Other NIH-funded projects on the same topics.
-
Stroke prevention with hydroxyurea for children with sickle cell anemia in Nigeria
A multinational, patient-facing study tests whether hydroxyurea can safely prevent first strokes in Nigerian children with sickle cell anemia.
-
Music-powered tools to boost blood pressure and stroke prevention for Nigerian youth and their older caregivers
This project uses popular music to help Nigerian youths and their older family members start and stick to blood pressure and stroke prevention habits.
-
Determinants of Post-Stroke Cognitive Outcomes and Vascular Effects on Recovery
A large, multi-site effort aims to understand why some stroke survivors develop long-term cognitive problems and dementia, and how vascular health and pre-existing brain changes influence recovery.
-
LRP1 controls NSC movement and stroke recovery
This NIH grant studies how a brain receptor called LRP1 helps neural stem cells move to stroke injuries and support recovery in adults.
-
BBB Dysfunction after Stroke and Risk for Dementia
A study at Stanford will look at whether inflammation after a stroke leads to leaky blood vessels and later dementia, by following stroke survivors and comparing them with people without stroke.
-
Improving blood flow after stroke by breaking down NETs
Aims to see if breaking down neutrophil extracellular traps (NETs) after an ischemic stroke can improve blood flow and reduce brain injury in patients.
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.