Next: Analyzing typing speed, speech and sleep patterns to identify cognitive decline, dementia, Parkinson ’s, and more

AI May Help Identify Patients With Early-Stage Dementia (The Wall Street Journal): Researchers are studying whether artificial-intelligence tools that analyze things like typing speed, sleep patterns and speech can be used to help clinicians better identify patients with early-stage dementia. Huge quantities of data reflecting our ability to think and process information are now widely available, thanks to watches and phones that track movement and heart rate, as well as tablets, computers and virtual assistants such as Amazon Echo that can record the way we type, search the internet and pay bills… The goal of using artificial intelligence in health care isn’t to replace humans but rather to assist doctors, says P. Murali Doraiswamy, professor and director of the Neurocognitive Disorders Program at Duke University School of Medicine. “This isn’t a battle between AI and doctors, it’s about how to optimize doctors’ ability to deliver better care,” he says. Dr. Doraiswamy has collaborated on several projects involving machine learning and neurodegenerative diseases, including a study of internet-search behavior with Microsoft Corp. In that study, researchers found that machine-learning algorithms trained to analyze subjects’ cursor movements in terms of speed, changes in direction and tremors, as well as whether the subjects repeated search queries or repeatedly clicked on search results, could help detect Parkinson’s disease. Preliminary analyses showed the st...
Source: SharpBrains - Category: Neuroscience Authors: Tags: Brain/ Mental Health Technology & Innovation artificial intelligence brain signatures cognitive decline digital medicine doctors early-stage dementia machine-learning neurocognitive neurodegenerative disorders sleep-patterns speech Source Type: blogs