AI Algorithms for Early Detection of Cognitive Impairments

Abstract

The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has introduced transformative capabilities in the detection and management of cognitive impairments. These impairments represent significant challenges in healthcare, characterized by complex symptoms and progressive deterioration. Traditional diagnostic and management methods often face limitations due to the subtleties in early symptom detection and the need for comprehensive data analysis. AI algorithms offer powerful tools to address these challenges. The integration of these AI algorithms into clinical practice provides several advantages: enhanced diagnostic accuracy through sophisticated data analysis, personalized treatment plans tailored to individual patient profiles, and predictive models that forecast disease progression. This chapter highlights the potential of artificial intelligence to transform the management of mental retardation and shows how these technologies can be used to overcome the limitations of traditional and advances in the field of mental health.

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