2304388
Cooperative Agreement
Overview
Grant Description
Sbir Phase II: An AI-Enhanced Angiographic System to Guide Endovascular Treatment of Intracranial Aneurysms -The broader impact of this Small Business Innovation Research (SBIR) Phase II project is improving the surgical outcome for patients undergoing neuro-endovascular interventions for the treatment of intracranial aneurysms (IAS).
IAS affect 6% of the population and IA rupture results in lethal hemorrhagic strokes, which account for ~25% of cerebrovascular deaths despite improvements in management. Most ruptured IA patients (~65%) die due to the initial bleed or its immediate complications. Of the survivors, ~50% are left disabled and dependent on others for daily activities.
When IAS become symptomatic and medical therapy or lifestyle changes are ineffective, treatment could involve neuro-endovascular interventions. Although these surgical approaches provide reliable and fast access to the lesion with fewer complications than open skull surgery, they do not achieve complete IA healing, with as many as 30% of the cases requiring repeated interventions.
The artificial intelligence technology developed in this project will allow real-time assessment of the surgery progress by analyzing images acquired through the angiographic unit. The solution will provide the odds of failure to achieve healing of the IAS before the patient leaves the surgical suite.
This Small Business Innovation Research (SBIR) Phase II project will support development of the world's first artificial intelligence platform that enables real-time informed decision support for image-guided neuro interventions to treat intracranial aneurysms. The technology uses imaging biomarkers extracted from routinely acquired angiograms during image-guided endovascular procedures and machine learning methods to account for large heterogeneity in patient pathology, neuro-interventionalist approach, and imaging equipment characteristics.
The platform includes multiple innovative aspects: 1) a fully automated method to identify the location and extent of the IA, (2) instantaneous extraction of the imaging biomarkers, (3) prognosis of the surgical outcome at one-year post-procedure in a fraction of a second to allow neuro-interventionalist to readjust the endovascular therapy, and (4) full integration with the angiographic systems regardless of the manufacturer.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. - Subawards are planned for this award.
IAS affect 6% of the population and IA rupture results in lethal hemorrhagic strokes, which account for ~25% of cerebrovascular deaths despite improvements in management. Most ruptured IA patients (~65%) die due to the initial bleed or its immediate complications. Of the survivors, ~50% are left disabled and dependent on others for daily activities.
When IAS become symptomatic and medical therapy or lifestyle changes are ineffective, treatment could involve neuro-endovascular interventions. Although these surgical approaches provide reliable and fast access to the lesion with fewer complications than open skull surgery, they do not achieve complete IA healing, with as many as 30% of the cases requiring repeated interventions.
The artificial intelligence technology developed in this project will allow real-time assessment of the surgery progress by analyzing images acquired through the angiographic unit. The solution will provide the odds of failure to achieve healing of the IAS before the patient leaves the surgical suite.
This Small Business Innovation Research (SBIR) Phase II project will support development of the world's first artificial intelligence platform that enables real-time informed decision support for image-guided neuro interventions to treat intracranial aneurysms. The technology uses imaging biomarkers extracted from routinely acquired angiograms during image-guided endovascular procedures and machine learning methods to account for large heterogeneity in patient pathology, neuro-interventionalist approach, and imaging equipment characteristics.
The platform includes multiple innovative aspects: 1) a fully automated method to identify the location and extent of the IA, (2) instantaneous extraction of the imaging biomarkers, (3) prognosis of the surgical outcome at one-year post-procedure in a fraction of a second to allow neuro-interventionalist to readjust the endovascular therapy, and (4) full integration with the angiographic systems regardless of the manufacturer.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. - Subawards are planned for this award.
Awardee
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "NSF SMALL BUSINESS INNOVATION RESEARCH PHASE II (SBIR)/ SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAMS PHASE II", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF22552
Grant Program (CFDA)
Awarding Agency
Place of Performance
Buffalo,
New York
14203-1101
United States
Geographic Scope
Single Zip Code
Related Opportunity
22-552
Analysis Notes
Amendment Since initial award the End Date has been extended from 09/30/25 to 06/30/26 and the total obligations have increased from $999,862 to $1,007,862.
Qas.Ai was awarded
Cooperative Agreement 2304388
worth $1,007,862
from in October 2023 with work to be completed primarily in Buffalo New York United States.
The grant
has a duration of 2 years 8 months and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
SBIR Details
Research Type
SBIR Phase II
Title
SBIR Phase II:An AI-Enhanced Angiographic System to Guide Endovascular Treatment of Intracranial Aneurysms
Abstract
The broader impact of this Small Business Innovation Research (SBIR) Phase II project is improving the surgical outcome for patients undergoing neuro-endovascular interventions for the treatment of intracranial aneurysms (IAs). IAs affect 6% of the population and IA rupture results in lethal hemorrhagic strokes, which account for ~25% of cerebrovascular deaths despite improvements in management. Most ruptured IA patients (~65%) die due to the initial bleed or its immediate complications. Of the survivors, ~50% are left disabled and dependent on others for daily activities. When IAs become symptomatic and medical therapy or lifestyle changes are ineffective, treatment could involve neuro-endovascular interventions. Although these surgical approaches provide reliable and fast access to the lesion with fewer complications than open skull surgery, they do not achieve complete IA healing, with as many as 30% of the cases requiring repeated interventions. The artificial intelligence technology developed in this project will allow real-time assessment of the surgery progress by analyzing images acquired through the angiographic unit.The solution will provide the odds of failure to achieve healing of the IAs before the patient leaves the surgical suite._x000D_ _x000D_ This Small Business Innovation Research (SBIR) Phase II project will support development of the world’s first artificial intelligence platform that enables real-time informed decision support for image-guided neuro interventions to treat intracranial aneurysms. The technology uses imaging biomarkers extracted from routinely acquired angiograms during image-guided endovascular procedures and machine learning methods to account for large heterogeneity in patient pathology, neuro-interventionalist approach, and imaging equipment characteristics. The platform includes multiple innovative aspects: 1) a fully automated method to identify the location and extent of the IA, (2) instantaneous extraction of the imaging biomarkers, (3) prognosis of the surgical outcome at one-year post-procedure in a fraction of a second to allow neuro-interventionalist to readjust the endovascular therapy, and (4) full integration with the angiographic systems regardless of the manufacturer._x000D_ _x000D_ This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Topic Code
AI
Solicitation Number
NSF 22-552
Status
(Ongoing)
Last Modified 9/18/25
Period of Performance
10/1/23
Start Date
6/30/26
End Date
Funding Split
$1.0M
Federal Obligation
$0.0
Non-Federal Obligation
$1.0M
Total Obligated
Activity Timeline
Transaction History
Modifications to 2304388
Additional Detail
Award ID FAIN
2304388
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
KE4JKJZNHEA7
Awardee CAGE
8SNR3
Performance District
NY-26
Senators
Kirsten Gillibrand
Charles Schumer
Charles Schumer
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| Research and Related Activities, National Science Foundation (049-0100) | General science and basic research | Grants, subsidies, and contributions (41.0) | $999,862 | 100% |
Modified: 9/18/25