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AI Algorithms for Early Detection of Cognitive Impairments
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Author(s): Rupam Hazra (Global Institute of Management and Technology, Krishnanagar, India), Parag Chatterjee (Global Institute of Management and Technology, Krishnanagar, India), Yash Singh (Global Institute of Management and Technology, Krishnanagar, India), Gopal Podder (Global Institute of Management and Technology, Krishnanagar, India)and Titli Das (Global Institute of Management and Technology, Krishnanagar, India)
Copyright: 2025
Pages: 38
Source title:
Transforming Neuropsychology and Cognitive Psychology With AI and Machine Learning
Source Author(s)/Editor(s): Rohit Bansal (Stanford Institute of Management and Technology, Australia), Tariq Maqableh (Charles Sturt University, Australia), Gunjan Shuklaa (SICA College, Indore, India), Fazla Rabby (Stanford Institute of Management and Technology, Australia)and Remya Lathabhavan (Indian Institute of Management, Bodh Gaya, India)
DOI: 10.4018/979-8-3693-9341-3.ch007
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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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