OpenClinicalAI: An open and dynamic model for Alzheimer’s Disease diagnosis

• Published in: Expert systems with applications Vol. 261; p. 125528
• Main Authors: Huang, Yunyou, Liang, Xiaoshuang, Xie, Jiyue, Lu, Xiangjiang, Miao, Xiuxia, Liu, Wenjing, Zhang, Fan, Kang, Guoxin, Ma, Li, Tang, Suqin, Zhan, Jianfeng
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.02.2025
• Subjects: Alzheimer’s disease; Deep learning; Diagnose; Real-world clinical setting; Deep learning; AI; Alzheimer’s disease; Real-world clinical setting; Diagnose

Although Alzheimer’s disease (AD) cannot be reversed or cured, timely diagnosis can significantly reduce the burden of treatment and care. Current research on AD diagnosis models usually regards the diagnosis task as a typical classification task with two primary assumptions: (1) All target categori...