Alzheimer's disease, as a major public health problem affecting tens of millions of elderly people worldwide, has become a health challenge that cannot be ignored in the context of China's aging population. The National Action Plan for Dealing with Dementia in Older Age (2024-2030) points out that reducing the growth rate of Alzheimer's disease depends on early prevention and screening. How can artificial intelligence assist in the early screening of Alzheimer's disease? On the 15th, Zhejiang Provincial People's Hospital launched the Alzheimer's Disease Early Screening Intelligent Agent Action (RAISE) to promote the deep integration of artificial intelligence and medicine. It is understood that the intelligent agent has functions such as efficient screening, precise assessment, and risk prediction, which can greatly improve the early screening efficiency and accuracy of cognitive impairment, and provide scientific basis for early intervention. Experts point out that Alzheimer's disease begins to undergo pathological changes in the brain about 18 years before its onset. However, the clinical differential diagnosis of Alzheimer's disease still faces multiple challenges in primary healthcare institutions. Alzheimer's disease is a progression from mild to severe, and in the early stages of the disease, although pathological changes have already occurred in the brain, no obvious symptoms have been clinically manifested. At this point, the patient may not have reached the level of dementia. As the condition progresses, the pathological changes in the brain gradually accumulate from quantitative changes to qualitative changes, and clinical symptoms begin to appear Yu Enyan, honorary director of the Clinical Psychology Department of Zhejiang Provincial People's Hospital, told reporters that if diseases can be identified and intervened before clinical symptoms appear, the effect will be the best. Yu Enyan stated that traditional diagnostic methods that rely on doctors' experience are subjective and lack standardization, which can easily lead to misdiagnosis or missed diagnosis, especially in early and complex cases. Therefore, there is an urgent need for an intelligent Alzheimer's disease identification and diagnosis system that can adapt to grassroots medical conditions and is based on multimodal data. Meng Xuli, Deputy Secretary of the Party Committee and Vice President of Zhejiang Provincial People's Hospital, introduced that last year the hospital officially released 10 AI intelligent agent innovation projects, one of which is the Alzheimer's disease global and full course management intelligent agent launched by the Clinical Psychology Department. Ruisi early screening intelligent agent is an important leading part of this system, which is based on big language models and artificial intelligence technology, and has functions such as efficient screening, accurate evaluation, and risk prediction. During the evaluation process, the intelligent agent analyzed a large amount of objective indicator data through a big language model, including speech data (such as pitch, pause, volume changes, etc.), behavior data (such as finger sliding speed, area, touch recognition, etc.), and micro expression data (such as emotional state, eye movement tracking, head movement direction, etc.), enhancing the intelligence level of data analysis and feature extraction, and maintaining efficient operation in the absence of incomplete data. This multimodal screening agent integrates four dimensions: risk factors, objective screening, subjective evaluation, and emotional evaluation. Finally, it presents a guidance report that includes cognitive risk levels, cognitive risk factors, risk control recommendations, future cognitive risk prediction trends, and medical advice Professor Liao Zhengping, Director of the Clinical Psychology Department at Zhejiang Provincial People's Hospital, said. Liao Zhengping stated that the intelligent agent will be further expanded in the future, integrating functions such as precise diagnosis, dynamic follow-up, rehabilitation training, and health education, to create an intelligent management system covering the entire course of the patient's illness, providing higher quality, more convenient, and more efficient health services for patients with cognitive impairment. We look forward to empowering early screening, diagnosis, and treatment of cognitive impairment through technology, so that more patients can enjoy high-quality health management Meng Xuli said, "The prevention and treatment of cognitive impairment is an important cause related to social welfare, and we also look forward to close cooperation in multiple fields such as medicine, technology, and public health in the future