Early detection of Alzheimer's disease (AD) using system and large language models (LLMs), involves integrating LLMs that enhances the early detection of Alzheimer's disease by identifying subtle cognitive decline indicators that traditional diagnostic methods fail to detect
	MARTHA S; SANGEETHA S
	2025-03-24
专利权人	UNIV SR (UYSR-Non-standard)
申请日期	2025-03-24
专利号	IN202541027105-A
成果简介	NOVELTY - Early detection of Alzheimer's disease (AD) using system and large language models (LLMs), involves: integrating LLMs that enhances the early detection of Alzheimer's disease by identifying subtle cognitive decline indicators that traditional diagnostic methods fail to detect. USE - Method for early detection of Alzheimer's disease (AD) using system and large language models (LLMs). ADVANTAGE - The method enables to improve accuracy in diagnosing AD, with high sensitivity; facilitate timely intervention and better disease management; and surpasses traditional methods, minimize false positives and provide more reliable diagnosis for individuals not affected by AD.
IPC 分类号	A61B-005/00 ; A61P-025/28 ; G06F-040/30 ; G06N-020/00 ; G16H-050/30
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13542
专题	中国科学院新疆生态与地理研究所
作者单位	UNIV SR (UYSR-Non-standard)
推荐引用方式 GB/T 7714	MARTHA S,SANGEETHA S. Early detection of Alzheimer's disease (AD) using system and large language models (LLMs), involves integrating LLMs that enhances the early detection of Alzheimer's disease by identifying subtle cognitive decline indicators that traditional diagnostic methods fail to detect. IN202541027105-A[P]. 2025.

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