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DeepStroke+: An Advanced Mobile AI Diagnostic Tool for Fast and Precise Detection of Acute Strokes in Mobile Stroke Units, Emergency Rooms, and Telestroke Triage

Award Number: R01NS140292
ORGANIZATION: NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 02/01/2025
PERIOD OF PERFORMANCE END DATE: 01/31/2030

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DeepStroke+: An Advanced Mobile AI Diagnostic Tool for Fast and Precise Detection of Acute Strokes in Mobile Stroke Units, Emergency Rooms, and Telestroke Triage - Project Summary/Abstract Nearly one million Americans suffer from a stroke every year, often resulting in serious long-term disability or death. Early detection and treatment of stroke is critical to improving patient outcomes. Several tools have previously been developed that attempt to screen and help identify patients having a stroke, but there are still many stroke cases that are missed, even after the patient arrives to the emergency room. This study aims to improve the identification and triage of stroke patients in emergency departments using artificial intelligence (AI) on multimedia patient data. Our hypothesis is that real-time, standardized, and reproducible stroke assessment tools using AI can improve stroke triage and decrease missed diagnoses in patients with minor-to-moderate neurological symptoms. The study plans to develop a DeepStroke+ augmented-intelligence framework to triage any kind of strokes (ischemic stroke, hemorrhagic stroke, transient ischemic attack, etc) versus stroke mimics commonly seen in emergency settings. We developed a DeepStroke+ framework for stroke triage using facial videos of English-speaking patients who are describing the “Cookie Theft” picture from the Boston Diagnostic Aphasia Examination. Based on this technology, we will develop a stroke triage app and validate it in different triage scenarios from mobile stroke units to emergency room triage in local and telestroke scenarios.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $594,406 )
2026	2026	THE METHODIST HOSPITAL RESEARCH INSTITUTE	6565 FANNIN ST STE D200	HOUSTON	TX	77030	HARRIS	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	001	2	2/23/2026	NON-COMPETING CONTINUATION	$59,440
2026	2026	THE METHODIST HOSPITAL RESEARCH INSTITUTE	6565 FANNIN ST STE D200	HOUSTON	TX	77030	HARRIS	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	2	1/19/2026	NON-COMPETING CONTINUATION	$534,966
														Subtotal = $594,406

Issue Date FY: 2025 ( Subtotal = $619,969 )
2025	2025	METHODIST HOSPITAL, THE	6670 BERTNER AVE	HOUSTON	TX	77030	HARRIS	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	1	1/31/2025	NEW	$619,969
														Subtotal = $619,969

Grand Total All Awards = $1,214,375

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DeepStroke+: An Advanced Mobile AI Diagnostic Tool for Fast and Precise Detection of Acute Strokes in Mobile Stroke Units, Emergency Rooms, and Telestroke Triage

Award Number: R01NS140292

ORGANIZATION: NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 02/01/2025

PERIOD OF PERFORMANCE END DATE: 01/31/2030

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