Tech Advances Boost Cognitive Impairment Detection and Management

As global populations age, cognitive decline, ranging from mild impairment to dementia, presents a significant health challenge. Traditional assessment methods often miss the early indicators. This comprehensive review examines the latest technological breakthroughs in identifying and managing cognitive impairment in older adults. It covers a broad spectrum of approaches, including electroencephalography (EEG), advanced neuroimaging techniques like MRI and PET scans, emerging blood-based biomarkers, and various digital markers, all enhanced by artificial intelligence, machine learning, and deep learning. The paper contributes a cross-disciplinary taxonomy and emphasizes the need for rigorous, independent validation of methods. It outlines an integrated framework for early detection, linking tiered screening to timely interventions. Significant progress is noted: plasma p-tau217 is nearing clinical use, with the first blood test for Alzheimer's diagnosis expected soon, and anti-amyloid therapies are approved despite modest benefits. Multidomain lifestyle interventions have also matured. Wearable devices, remote monitoring, speech analysis, and virtual reality tools are enabling continuous, ecologically valid monitoring, with multimodal data fusion improving diagnostic accuracy. However, challenges persist, including the need for standardization, explainability of AI models, data privacy concerns, and ensuring equitable, externally validated deployment of these technologies. The immediate future holds promise for trustworthy, multimodal systems that connect early detection with personalized care.