论文标题
在19009年大流行和大流行世界中，为早期阿尔茨海默氏病的计算机认知训练推进了认知培训
Advancing computerized cognitive training for early Alzheimer's disease in a Covid-19 pandemic and post-pandemic world
论文作者
论文摘要
COVID-19大流行已将移动健康应用程序和远程医疗从NICE转变为将工具转变为基本的医疗基础设施。对于老年人，由于感染的风险更大，这种需求尤其重要。这些也是认知能力下降的最高风险的群体。例如，在199年期间，医院和政府机构（例如CDC）雇用了人工智能的对话代理，从患者进行现场查询，以了解症状和治疗。事实证明，数字健康工具也无价于为在家中或退休中心和疗养院中孤立的人们提供神经精神病学和心理自助。
The COVID-19 pandemic has transformed mobile health applications and telemedicine from nice to have tools into essential healthcare infrastructure. This need is particularly great for the elderly who, due to their greater risk for infection, may avoid medical facilities or be required to self-isolate. These are also the very groups at highest risk for cognitive decline. For example, during the COVID-19 pandemic artificially intelligent conversational agents were employed by hospitals and government agencies (such as the CDC) to field queries from patients about symptoms and treatments. Digital health tools also proved invaluable to provide neuropsychiatric and psychological self-help to people isolated at home or in retirement centers and nursing homes.
