新的AI-驱动眼跟踪系统在症状出现之前的几年就检测到阿尔茨海默氏症的风险,无症状载体的精确度为96%。 A new AI-powered eye-tracking system detects Alzheimer’s risk years before symptoms, with 96% accuracy in asymptomatic carriers.

由斯特拉思克莱德大学开发的一个新的眼睛跟踪系统(ViewMind Atlas)利用AI检测出在出现症状之前数年内对阿尔茨海默氏病的遗传易感性,在症状患者中达到100%的精确度,在无症状携带者中达到96%的准确度。 A new eye-tracking system, ViewMind Atlas, developed by the University of Strathclyde, uses AI to detect a genetic predisposition to Alzheimer’s disease up to years before symptoms appear, achieving 100% accuracy in symptomatic individuals and 96% in asymptomatic carriers. 研究的重点是与早期阿尔茨海默氏病有关的基因突变率高的哥伦比亚家庭,发现非侵入性、低成本方法优于传统的认知测试,避免了脑扫描或脊椎接龙等昂贵或侵入性程序的需求。 The study, focused on Colombian families with a high rate of a genetic mutation linked to early-onset Alzheimer’s, found the non-invasive, low-cost method outperformed traditional cognitive tests and avoided the need for expensive or invasive procedures like brain scans or spinal taps. 研究人员和倡导团体表示,该技术可以促成早期诊断,从而能够及时采取干预措施,减缓疾病蔓延,提高生活质量,并减轻保健负担。 Researchers and advocacy groups say the technology could enable earlier diagnosis, allowing for timely interventions that may slow disease progression, improve quality of life, and reduce healthcare burdens.