{"id":13636,"date":"2024-06-21T09:47:11","date_gmt":"2024-06-21T01:47:11","guid":{"rendered":"https:\/\/www.1ai.net\/?p=13636"},"modified":"2024-06-21T09:47:11","modified_gmt":"2024-06-21T01:47:11","slug":"ai-%e6%96%b0%e7%a0%94%e7%a9%b6%e5%8f%af%e7%94%a8%e6%89%8b%e6%9c%ba%e6%a3%80%e6%b5%8b%e4%b8%ad%e9%a3%8e%ef%bc%9a%e5%87%86%e7%a1%ae%e7%8e%87%e8%be%be-82%ef%bc%8c%e5%88%86%e6%9e%90%e9%9d%a2%e9%83%a8","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/13636.html","title":{"rendered":"New AI research can detect stroke with mobile phones: accuracy rate reaches 82%, analyzing facial muscle movements"},"content":{"rendered":"<p data-vmark=\"f6b0\">Guilherme Camargo de Oliveira, a PhD student from the Royal Melbourne University's (RMIT) Corps of Biomedical Engineers and the State University of S\u00e3o Paulo, has developed an AI-based facial screening tool.<strong>Healthcare professionals only need to use the<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e6%99%ba%e8%83%bd%e6%89%8b%e6%9c%ba\" title=\"[Sees articles with tags on smartphones]\" target=\"_blank\" >Smartphone<\/a>It is possible to determine in a few seconds whether a patient is<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e4%b8%ad%e9%a3%8e\" title=\"[Sees articles with tags]\" target=\"_blank\" >suffer a paralyzing stroke<\/a><\/strong>.<\/p>\n<p data-vmark=\"01f0\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-13637\" title=\"2e0dd7a4-4205-4644-bb79-c6b628efee3b\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/06\/2e0dd7a4-4205-4644-bb79-c6b628efee3b.png\" alt=\"2e0dd7a4-4205-4644-bb79-c6b628efee3b\" width=\"700\" height=\"525\" \/><\/p>\n<p>\u25b2 PhD student Guilherme Camargo de Oliveira demonstrates the facial screening tool with RMIT University Visiting Associate Professor Nemuel Daniel Pah (pictured)<\/p>\n<p data-vmark=\"2bfa\">This tool in detecting stroke<strong>Accuracy of 82%<\/strong>The newest addition to the RMIT Stroke Lab is a comprehensive clinical diagnostic test for stroke, but it will not replace the comprehensive clinical diagnostic test for stroke, and will only be used to help identify people in need of treatment more quickly. Professor Kumar from RMIT's School of Biomedical Engineering says that early detection of stroke and timely treatment can significantly improve recovery outcomes and reduce the risk of long-term disability.<\/p>\n<p data-vmark=\"800e\">The tool deeply integrates AI with facial recognition technology, the<strong>Detecting stroke by analyzing facial symmetry and specific muscle movements (called action units)<\/strong>. The tool uses the Facial Action Coding System (FACS), originally developed in the 1970s, to classify facial movements by contraction or relaxation of facial muscles, providing a detailed framework for analyzing facial expressions.<\/p>\n<p data-vmark=\"5e73\">Team member de Oliveira stated that<strong>One of the key parameters affecting stroke patients is that their facial muscles usually become unilateral in their movements<\/strong>, so the muscles on the two sides of the face behave differently. The tool centers on detecting whether the asymmetry of the face changes when it smiles. The study used videos of facial expressions examined in 14 post-stroke patients and 11 healthy controls.<\/p>\n<p data-vmark=\"132c\">The team plans to work with healthcare providers to<strong>Develop the tool into a mobile application<\/strong>to be able to detect other neurological disorders that affect facial expressions.<\/p>","protected":false},"excerpt":{"rendered":"<p>A group of biomedical engineers from the Royal Melbourne University (RMIT) and PhD student Guilherme Camargo de Oliveira from S\u00e3o Paulo State University have developed an AI-based facial screening tool that allows healthcare professionals to determine if a patient has had a stroke in seconds, using only a smartphone. PhD student Guilherme Camargo de Oliveira demonstrates the facial screening tool with RMIT University Visiting Associate Professor Nemuel Daniel Pah (pictured) The tool, which has an accuracy of 82% in detecting stroke, will not replace the comprehensive clinical diagnostic test for stroke, but will only be used to help more quickly identify people in need of treatment. People.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[3155,399],"collection":[],"class_list":["post-13636","post","type-post","status-publish","format-standard","hentry","category-news","tag-3155","tag-399"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/13636","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=13636"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/13636\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=13636"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=13636"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=13636"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=13636"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}