Smartphones and AI Breakthrough to Detect Alzheimer's
Overview A machine learning model is being created by researchers with the goal of detecting Alzheimer's disease early. This model, which may be accessed via smartphones, can discriminate between people with Alzheimer's disease and healthy people with an accuracy of 70–75%. The technology might provide important early indicators by concentrating on speech patterns rather than content, thus starting therapy sooner and delaying illness development. It won't take the role of medical experts, but it might improve telemedicine offerings and help people over linguistic and geographical hurdles. With an accuracy of 70–75%, the machine learning model can distinguish Alzheimer's patients from healthy people. Instead of focusing on specific words, the program analyses linguistic and acoustic speech aspects to identify the ailment. The use of this model might lead to the creation of an easy-to-use screening software for smartphones that would show early signs of Alzheimer's d...