Improving Prognostication following Traumatic Brain Injury using a Population-Based Deep Learning Approach Incorporating Automated Acute Brain Imaging Analysis

使用基于人群的深度学习方法结合自动急性脑成像分析来改善创伤性脑损伤后的预后

• 批准号: 475733
• 负责人: Malhotra Armaan K
• 金额: $ 7.65万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Studentship Programs
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-11-01 至 2025-11-01
• 项目状态: 未结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=475733&lang=en
• 关键词: Epidemiology; Health Services Research; Imaging; Machine Learning; Nervous System; Outcomes Research; Prediction; Traumatic Brain Injury

Traumatic brain injury (TBI) is a major reason for disability, lost quality of life, and mortality with over 69 million cases worldwide each year. TBI affects individuals across the entire spectrum of age; TBI patients may develop other psychiatric or med

创伤性脑损伤（TBI）是导致残疾、生活质量下降和死亡的主要原因，全球每年有超过6900万例病例。TBI影响整个年龄范围的个体; TBI患者可能会发展为其他精神或医学疾病。