I-Corps: Non-Invasive Software Tool for Risk Assessment of Intracranial Aneurysms (IA)

I-Corps：用于颅内动脉瘤 (IA) 风险评估的非侵入性软件工具

• 批准号: 2402381
• 负责人: Iskender Sahin
• 金额: $ 5万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-02-01 至 2025-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2402381&HistoricalAwards=false
• 关键词: Corps; Non; Invasive; Software; Tool

The broader impact/commercial potential of this I-Corps project is the development of a software tool for a non-invasive risk assessment of cerebral aneurysms. Currently, there is a growing trend in the medical industry towards less invasive assessment methods that streamline the tasks of medical professionals and augment their comprehension of cerebral aneurysms. This technology may save patients from unnecessary risky procedures and streamline diagnostic and treatment analysis workflow, enhancing pre-surgical planning and post-treatment monitoring. In addition, the technology is designed to provide critical information early in the healthcare process. Healthcare providers will benefit as the system aids in accurately maintaining claims, treatment records, and associated risks for each patient. This data, in turn, enables healthcare providers to engage in predictive planning for individual patients, contributing to better overall patient care and resource management in the healthcare industry.This I-Corps project is based on the development of a non-invasive software tool designed to enhance risk analysis of intracranial aneurysms. The technology integrates advanced imaging techniques with computational dynamics and artificial intelligence/machine learning (AI/ML) analysis to provide a comprehensive assessment of intracranial aneurysm risks. By reconstructing blood vessels and simulating blood flow using Navier-Stokes equations, the tool improves imaging modalities. The AI/ML algorithms analyze this data, offering valuable insights for personalized treatment planning. The technology is designed to provide dynamic risk assessments tailored to each patient, ensuring more accurate and effective results. The AI/ML insights are grounded in patient-specific biomarkers related to aneurysm growth and progression, enabling a thorough analysis of individual cases.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.

该 I-Corps 项目更广泛的影响/商业潜力是开发用于脑动脉瘤非侵入性风险评估的软件工具。 目前，医疗行业越来越倾向于采用侵入性较小的评估方法，以简化医疗专业人员的任务并增强他们对脑动脉瘤的理解。 该技术可以使患者免于不必要的危险手术，并简化诊断和治疗分析工作流程，增强手术前计划和治疗后监测。 此外，该技术旨在在医疗保健过程的早期提供关键信息。医疗保健提供者将受益，因为该系统有助于准确维护每位患者的索赔、治疗记录和相关风险。这些数据反过来又使医疗保健提供者能够参与针对个体患者的预测性规划，从而有助于医疗保健行业更好的整体患者护理和资源管理。这个 I-Corps 项目基于非侵入性软件工具的开发，该工具旨在加强颅内动脉瘤的风险分析。该技术将先进的成像技术与计算动力学和人工智能/机器学习（AI/ML）分析相结合，以提供颅内动脉瘤风险的全面评估。通过使用纳维-斯托克斯方程重建血管和模拟血流，该工具改进了成像模式。人工智能/机器学习算法分析这些数据，为个性化治疗计划提供有价值的见解。该技术旨在为每位患者提供量身定制的动态风险评估，确保结果更准确、更有效。 AI/ML 见解以与动脉瘤生长和进展相关的患者特异性生物标志物为基础，能够对个体病例进行彻底分析。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响进行评估，被认为值得支持审查标准。