A Novel Approach to Detect Dementia Using ML

Dementia presents a global health challenge, involving cognitive decline and impairment that seriously impacts daily functioning and quality of life. The most prevalent form of dementia is Alzheimer's disease (AD), which is a progressive neurodegenerative disorder posing a major global health concern. Timely detection of AD is crucial for effective intervention, improved patient outcomes, and the development of therapeutic strategies. The development of a proficient medical decision support system plays a critical role in early disease prediction and assists specialists in prescribing appropriate treatments. The advancement of computer technology has fostered collaboration between healthcare professionals and engineers, resulting in the creation of intelligent systems for medical diagnosis. Artificial Intelligence (AI) has appeared as a promising tool in healthcare, including the detection of dementia, by leveraging machine learning algorithms and data analysis techniques. AI algorithms, particularly those based on machine learning, have been useful to diverse data types, such as MRI scans, to identify patterns and markers indicative of AD. The utilization of AI technologies can significantly improve the accuracy, efficiency, and objectivity of dementia screening and diagnosis processes.