SiWei, XuTing, LinJiayue, Cao Wenting, ZhuAiyong. A review of artificial intelligence technology in the screening of cognitive impairment. 2024. biomedRxiv.202407.00048
A review of artificial intelligence technology in the screening of cognitive impairment
Corresponding author: ZhuAiyong, zhuay@sumhs.edu.cn
DOI: 10.12201/bmr.202407.00048
-
Abstract: Purpose/Significance: This study analyzes the current application of artificial intelligence technology in the screening of elderly cognitive impairment to explore its potential in improving the accuracy and efficiency of early diagnosis and the challenges it faces. Method/Process: Using a literature review method, this paper organizes and summarizes the key technologies and application scenarios of AI in the field of elderly cognitive impairment screening, analyzing the advantages and limitations of current applications. Result/Conclusion: Existing research has limitations such as dependence on data quality, the interpretability of algorithms, and adaptability in different medical environments. It is proposed to increase interdisciplinary cooperation, accumulate cognitive impairment-related data, iterate AI models, improve assessment quality, and promote the popularization of emerging technologies in communities and medical institutions.
Key words: Artificial intelligence;Cognitive Impairment;Screening;Elderly People,;ReviewSubmit time: 19 July 2024
Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity. -
图表
-
孟. Advances in deep learning-based Artificial Intelligence techniques in gastrointestinal stromal tumors.. 2024. doi: 10.12201/bmr.202411.00057
ZhengYanli, Han Fuhai, LI Shuyu, SU Wenxing. Application Status and Prospect of Artificial Intelligence Large Models in Medicine. 2023. doi: 10.12201/bmr.202312.00027
zhaorui, shixiuyuan, zhongxueran, renping, tianxueqin, liuchunping, youmao. Construction of clinical application evaluation path of medical artificial intelligence technology based on health technology evaluationRui Zhao, Xiuyuan Shi, Xueran Zhong, Chunping Liu, Ping Ren, Xueqin Tian, Mao You. 2022. doi: 10.12201/bmr.202203.00005
Dong Kun, Yang Fen, Yang Yang. Application and Thinking of Artificial Intelligence in General Practitioner Training. 2023. doi: 10.12201/bmr.202305.00011
Clinical application of magnetic resonance imaging technology in cognitive dysfunction after stroke. 2024. doi: 10.12201/bmr.202411.00056
GE Xiaoling. Application of Artificial Intelligence Large Models in Healthcare:a Survey. 2024. doi: 10.12201/bmr.202408.00039
wusijing, xubinbin, huangfeng. Development Status and Policy Suggestions of Medical Artificial Intelligence in Zhejiang Province. 2021. doi: 10.12201/bmr.202101.00015
xiejunxiang. The composition of Key Technologies and Application in Medical Artificial Intelligence. 2020. doi: 10.12201/bmr.202005.00243
yanwencheng, lijunzhen, chenmei, 卢艳红. Artificial Intelligence for Stomatology: Application in Dental Endodontics. 2021. doi: 10.12201/bmr.202102.00003
dongtingting. Study on the safety impact and countermeasures of medical artificial intelligence products on patients. 2020. doi: 10.12201/bmr.202012.00004
-
ID Submit time Number Download 1 2024-04-04 bmr.202407.00048V1
Download -
-
Public Anonymous To author only
Get Citation
Article Metrics
- Read: 362
- Download: 3
- Comment: 0