{"id":18432,"date":"2024-08-22T09:14:16","date_gmt":"2024-08-22T01:14:16","guid":{"rendered":"https:\/\/www.1ai.net\/?p=18432"},"modified":"2024-08-22T09:23:20","modified_gmt":"2024-08-22T01:23:20","slug":"%e8%b0%b7%e6%ad%8c%e5%bc%80%e6%94%be-hear-ai-%e6%a8%a1%e5%9e%8b-api%ef%bc%9a1-%e4%ba%bf%e6%9d%a1%e5%92%b3%e5%97%bd%e5%a3%b0%e8%ae%ad%e7%bb%83%ef%bc%8c%e8%be%85%e5%8a%a9%e7%ad%9b%e6%9f%a5%e3%80%81","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/18432.html","title":{"rendered":"Google opens HeAR AI model API: 100 million cough sound training to assist in screening, diagnosis and monitoring of tuberculosis"},"content":{"rendered":"<p><a href=\"https:\/\/www.1ai.net\/en\/tag\/%e8%b0%b7%e6%ad%8c\" title=\"[View articles tagged with [Google]]\" target=\"_blank\" >Google<\/a>The company published a blog post on August 19, announcing that it would use the Google Cloud API.<strong>Health Acoustic Representations (HARs) are now available to researchers. <a href=\"https:\/\/www.1ai.net\/en\/tag\/hear\" title=\"_Other Organiser\" target=\"_blank\" >HeAR<\/a>\uff09<a href=\"https:\/\/www.1ai.net\/en\/tag\/ai%e6%a8%a1%e5%9e%8b\" title=\"[View articles tagged with [AI models]]\" target=\"_blank\" >AI Models<\/a>.<\/strong><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-18433\" title=\"4c2ea9cbj00sili2u000zd000ms00ctm\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/08\/4c2ea9cbj00sili2u000zd000ms00ctm.jpg\" alt=\"4c2ea9cbj00sili2u000zd000ms00ctm\" width=\"820\" height=\"461\" \/><\/p>\n<p>It was reported in March this year that Google&#039;s HeAR AI model can help humans diagnose diseases by analyzing people&#039;s coughing and breathing.<\/p>\n<p>Google said HeAR\u2019s performance in various tasks was better than other models and it demonstrated an excellent ability to capture meaningful patterns in health-related acoustic data.<\/p>\n<p>Importantly, models trained using HeAR require less training data to achieve high performance, a crucial advantage given that data scarcity is often a challenge in healthcare research.<\/p>\n<p>The Google research team trained HeAR using 300 million audio samples collected from a diverse, de-identified dataset; specifically, we trained the cough model using approximately 100 million cough sounds.<\/p>\n<p>HeAR\u2019s potential applications are vast. For example, India-based respiratory healthcare company Salcit Technologies is exploring how HeAR can enhance its existing AI model, Swaasa, for early detection of tuberculosis based on cough sounds, which could be particularly impactful in areas with limited healthcare access.<\/p>\n<p>HeAR&#039;s potential extends beyond tuberculosis. The model&#039;s ability to work across a variety of microphones and environments allows for low-cost, accessible screening for a wide range of respiratory diseases, marking an important step forward in acoustic health research. Google&#039;s goal is to democratize this technology and support the global medical community in developing innovative solutions that break down barriers to early diagnosis and care.<\/p>","protected":false},"excerpt":{"rendered":"<p>Google Inc. published a blog post on Aug. 19, announcing that the Health Acoustic Representations (HeAR) AI model is now open to researchers through the Google Cloud API. It was reported in March this year that Google HeAR AI model can help humans diagnose diseases, which can be diagnosed by analyzing a person's cough and breathing. Google said that HeAR's performance in all tasks was due to other models, demonstrating a superior ability to capture meaningful patterns in health-related acoustic data. Importantly, models trained with HeAR require less training data to achieve high performance, which is important in healthcare research.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[167,4095,281],"collection":[],"class_list":["post-18432","post","type-post","status-publish","format-standard","hentry","category-news","tag-ai","tag-hear","tag-281"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/18432","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=18432"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/18432\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=18432"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=18432"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=18432"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=18432"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}