A Comprehensive Review on Earlier Detection of Brain Cerebral Hemorrhage Stroke And Alzheimer's Disease Using Artificial Intelligence

Abstract

Early detection of brain Cerebral Hemorrhage Stroke is of critical importance in medical imagery. It reviews the application of advanced learning algorithms to increase the accuracy and efficiency of brain stroke detection using noninvasive imaging (in particular MRI). In the last couple of years, recent machine learning and deep learning approaches like Convolutional Neural Networks (CNNs), Support Vector Machines (SVMs), and hybrid models have shown an overnight progress by automating the process of extraction, segmentation, and classification of brain tumors. Early symptoms of Alzheimer's dementia include: Memory impairment, such as trouble remembering events. Having a hard time concentrating, planning or problem-solving. Trouble finishing daily tasks at home or at work, such as writing or using eating utensils. You can't do. If another treatable condition is causing memory loss, your healthcare team can start treatments. For those with Alzheimer's dementia, starting medicines early can help slow the decline in memory and other cognitive skills.