疾病
认知
心理学
认知科学
人工智能
计算机科学
医学
神经科学
病理
作者
Deepak Panwar,Parul Sharma,Shweta Sharma,Manu Goyal,Kanu Goyal
出处
期刊:Advances in medical technologies and clinical practice book series
日期:2024-06-28
卷期号:: 190-210
标识
DOI:10.4018/979-8-3693-3605-2.ch013
摘要
This chapter explores how artificial intelligence (AI) is becoming increasingly important in improving cognitive testing and early Alzheimer's disease diagnosis. AI systems examine a variety of information, such as imaging, biomarkers, and medical records, to accurately and quickly identify minor changes in cognitive function. By improving cognitive evaluations' effectiveness, these technologies enable remote monitoring and tailored therapies. There are obstacles to overcome, such as ethical and data quality concerns, but research is still being done in these areas. AI's continued development has revolutionary potential for advances in Alzheimer's research and treatment, including increased diagnostic precision and early intervention for better patient outcomes.
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