USC研究人员开发AI工具,通过MRI扫描测量与痴呆症风险相关的大脑老龄化。 USC researchers develop AI tool to measure brain aging linked to dementia risk through MRI scans.

南加利福尼亚大学的研究人员开发了一个人工智能模型,可用磁共振成像扫描测量大脑老龄化速度。 Researchers at the University of Southern California have developed an AI model that can measure the rate of brain aging using MRI scans. 这个3D-CNN工具比较了初步和后续扫描以跟踪变化,有助于预测认知下降和痴呆。 This tool, a 3D-CNN, compares initial and follow-up scans to track changes and could help predict cognitive decline and dementia. 它经过3,000多部磁共振成像扫描的培训,精确地将更快的大脑老化与认知障碍联系起来,有可能帮助预防和治疗老年痴呆症等疾病。 Trained on over 3,000 MRI scans, it accurately correlates faster brain aging with cognitive impairment, potentially aiding in the prevention and treatment of conditions like Alzheimer's.