{"id":184504,"date":"2023-10-03T07:06:15","date_gmt":"2023-10-03T17:06:15","guid":{"rendered":"https:\/\/www.hawaii.edu\/news\/?p=184504"},"modified":"2023-10-03T15:32:11","modified_gmt":"2023-10-04T01:32:11","slug":"artificial-intelligence-detect-conditions","status":"publish","type":"post","link":"https:\/\/www.hawaii.edu\/news\/2023\/10\/03\/artificial-intelligence-detect-conditions\/","title":{"rendered":"$2.18M<\/abbr> to diagnose autism, ADHD<\/abbr>, mental health conditions using AI<\/abbr>"},"content":{"rendered":"Reading time: <\/span> 2<\/span> minutes<\/span><\/span>

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Wouldn\u2019t it be helpful to have a tool that can help identify potential cases of mental health conditions and developmental issues? Imagine the amount of people that could be helped earlier with powerful instruments and aids as part of that diagnosis.<\/p>\n

Diagnosing mental health conditions and developmental delays such as autism and ADHD<\/abbr> in individuals through video may one day be possible using artificial intelligence (AI<\/abbr>) and is the focus of a new University of Hawaiʻi<\/span> at M\u0101noa project. This public impact research by Assistant Professor Peter Washington from the Information and Computer Sciences Department<\/a> is funded by a $2.18-million New Innovator Award from the National Institutes of Health<\/a> (NIH<\/abbr>).<\/p>\n

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糖心视频<\/abbr> Assistant Professor Peter Washington (left) and some of the members of his research group (Zain Jabbar, Aditi Jaiswal, Ali Kargarandehkordi and Armin Soltan) test out a diagnostic video game. (Photo credit: Assistant Professor Anthony Peruma, one of Washington’s colleagues.)<\/figcaption><\/figure>\n

The New Innovator Award is part of NIH<\/abbr>\u2019s High-Risk, High-Reward Research program<\/a>. Washington\u2019s research grant is one of 85 announced by the program in 2023 totaling approximately $187 million to support highly innovative scientists who propose visionary and broadly impactful behavioral and biomedical research projects.<\/p>\n

This grant will provide five years of funding to Washington\u2019s research lab, the Hawaiʻi<\/span> Digital Health Lab<\/a>. Washington\u2019s lab develops new AI<\/abbr> techniques together with smartphone apps and websites to help advance diagnostic and treatment options for a variety of healthcare conditions.<\/p>\n

AI<\/abbr>-diagnosed mental health conditions, developmental disorders<\/h2>\n

While AI<\/abbr> is increasingly used to diagnose a variety of health conditions, current AI<\/abbr> cannot understand complex social human behavior from videos, and therefore is unable to diagnose mental health conditions and developmental disorders. Washington\u2019s project will create AI<\/abbr> models that work together with a group of people to establish computational diagnoses of subjective, complex and social conditions in psychiatry using videos recorded while playing video games. The subjects who are participating in the human-AI<\/abbr> collaboration process receive extensive privacy and health ethics training.<\/p>\n

Using the data collected, the project aims to create efficient, remote and accessible psychiatric evaluations from the comfort of a home computer.<\/p>\n

“Diagnostics for childhood and adolescent psychiatric conditions are inaccessible to many populations due to long waiting lists, lack of health insurance and the absence of proximity to the nearest available and affordable clinician,” Washington said. “We hope that the project will result in convenient and affordable psychiatric healthcare for families living in places such as rural Hawaiʻi<\/span>.”<\/p>\n

In particular, Washington\u2019s project will focus on diagnosing adolescent developmental delays, such as autism and ADHD<\/abbr> as a starting point towards building a method that can work for a broader range of psychiatric conditions. Providing diagnoses remotely through a computer in a mostly automated way can help families receive quicker care. According to Washington, the use of video games that are useful for AI<\/abbr> analysis can make the traditionally burdensome diagnostic process fun and convenient for children and adolescents.<\/p>\n

“In addition to its healthcare impact, this project is significant from a computer science perspective because it involves using AI<\/abbr> working together with a remote crowd of humans to measure human behavior precisely enough to predict a psychiatric diagnosis,” Washington said. “Achieving precise measurements about complex social human behavior from structured videos using a combination of AI<\/abbr> and crowdsourcing can have far-reaching applications beyond diagnosing psychiatric conditions, including multimedia and social media analytics as well as educational technology.”<\/p>\n","protected":false},"excerpt":{"rendered":"

Peter Washington earned the NIH<\/abbr> New Innovator Award to support his project.<\/p>\n","protected":false},"author":16,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[30],"tags":[308,484,1467,1363,568,1600,9],"class_list":["post-184504","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research","tag-college-of-natural-sciences","tag-information-and-computer-science","tag-manoa-excellence-in-research","tag-manoa-research","tag-natural-science","tag-public-impact-research","tag-uh-manoa","entry","has-media"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t