The development and validation of screening tools for early detection of Alzheimer’s Disease (AD) are critical for timely intervention and management. This review explores methodologies, challenges and advancements in creating such tools, emphasizing accuracy, sensitivity and practicality in clinical settings. Key considerations include biomarker research, cognitive assessments and machine learning techniques. The discussion encompasses ethical implications and future directions for improving AD screening.
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Clinical and Medical Case Reports received 40 citations as per Google Scholar report
