{"id":9418,"date":"2024-11-04T18:51:14","date_gmt":"2024-11-04T18:51:14","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=9418"},"modified":"2024-12-30T17:57:30","modified_gmt":"2024-12-30T17:57:30","slug":"ai-breakthrough-in-icu-faster-detection-of-antimicrobial-resistance-and-sepsis","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/ai-breakthrough-in-icu-faster-detection-of-antimicrobial-resistance-and-sepsis\/","title":{"rendered":"AI Breakthrough in ICU: Faster Detection of Antimicrobial Resistance and Sepsis"},"content":{"rendered":"\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-uagb-blockquote uagb-block-e7eb3fc3 uagb-blockquote__skin-border uagb-blockquote__stack-img-none\"><blockquote class=\"uagb-blockquote\"><div class=\"uagb-blockquote__content\">Researchers at King\u2019s College London have developed an AI-driven method for same-day antimicrobial resistance assessments in ICUs, promising improved patient outcomes and better management of life-threatening sepsis.<\/div><footer><div class=\"uagb-blockquote__author-wrap uagb-blockquote__author-at-left\"><\/div><\/footer><\/blockquote><\/div>\n\n\n\n<div class=\"wp-block-group is-content-justification-space-between is-nowrap is-layout-flex wp-container-core-group-is-layout-b0ffac9c wp-block-group-is-layout-flex\"><div style=\"font-size:16px\" class=\"has-text-align-left wp-block-post-author\"><div class=\"wp-block-post-author__content\"><p class=\"wp-block-post-author__name\">The University Network<\/p><\/div><\/div>\n\n\n<div class=\"wp-block-uagb-social-share uagb-social-share__outer-wrap uagb-social-share__layout-horizontal uagb-block-ee584a31\">\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-ec619ce7\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.facebook.com\/sharer.php?u=\" tabindex=\"0\" role=\"button\" aria-label=\"facebook\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M504 256C504 119 393 8 256 8S8 119 8 256c0 123.8 90.69 226.4 209.3 245V327.7h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.28c-30.8 0-40.41 19.12-40.41 38.73V256h68.78l-11 71.69h-57.78V501C413.3 482.4 504 379.8 504 256z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-32d99934\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/twitter.com\/share?url=\" tabindex=\"0\" role=\"button\" aria-label=\"twitter\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M389.2 48h70.6L305.6 224.2 487 464H345L233.7 318.6 106.5 464H35.8L200.7 275.5 26.8 48H172.4L272.9 180.9 389.2 48zM364.4 421.8h39.1L151.1 88h-42L364.4 421.8z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-1d136f14\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.linkedin.com\/shareArticle?url=\" tabindex=\"0\" role=\"button\" aria-label=\"linkedin\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 448 512\"><path d=\"M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Scientists have harnessed the power of artificial intelligence to provide same-day assessments of antimicrobial resistance in intensive care units, revolutionizing the fight against life-threatening sepsis.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Antimicrobial resistance, the ability of microorganisms to develop defenses against treatments, remains a formidable challenge for global health care. This resistance is responsible for an estimated 1.2 million deaths worldwide annually. When bloodstream infections become resistant to antibiotics, they can escalate to sepsis \u2014 a dangerous condition likely to result in organ failure, shock and even death.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;An important way to tackle the grave threat of antimicrobial resistance is to protect the antibiotics we already have,&#8221; Lindsey Edwards, a senior lecturer in microbiology at King\u2019s College London, said in a <a href=\"https:\/\/www.kcl.ac.uk\/news\/ai-tackles-huge-problem-of-antimicrobial-resistance-in-intensive-care\" title=\"\">news release<\/a>. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;Our study provides further evidence on the benefits of AI in health care, this time relating to the crucial issues of antimicrobial resistance and bloodstream infections,&#8221; added first author Davide Ferrari, a doctoral student at King\u2019s College London.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Current diagnostic methods in ICUs require lengthy laboratory tests that can take up to five days, a delay that can be detrimental to critically ill patients. The new AI-driven approach, developed through collaboration between King\u2019s College London researchers and clinicians at Guy\u2019s and St Thomas\u2019 NHS Foundation Trust, aims to provide same-day triaging for ICU patients. This rapid assessment is vital, especially in resource-limited environments.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Using data from 1,142 patients, the researchers demonstrated that AI and machine learning could quickly identify sepsis-causing infections, significantly impacting patient care and antibiotic stewardship. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;Our use of machine learning provides a new way of tackling the important clinical issue of antimicrobial resistance. We hope that the AI will provide a useful tool for clinicians in making important decisions, particularly in relation to ICU,&#8221; Ferrari said.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;Often patients with a drug-resistant infection will present to ICU in a critical condition and may not survive long enough for the current gold standards of diagnostics to determine what they are infected with. So, clinicians are faced with a difficult situation where they must prescribe &#8216;in a blinded fashion&#8217; a broad-spectrum antibiotic to save the patient,&#8221; added Edwards.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">However, the broad-spectrum approach can kill beneficial microbes without eliminating the harmful pathogen, potentially exacerbating antibiotic resistance. The AI method aims to mitigate this issue by enabling more precise and timely antibiotic administration.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The study,  recently <a href=\"https:\/\/journals.plos.org\/digitalhealth\/article?id=10.1371\/journal.pdig.0000641\" title=\"\">published<\/a> in PLOS Digital Health, paves the way for larger-scale research involving over 20,000 individuals and aims for real-world deployment of this AI technology within the NHS using Federated Machine Learning.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;The simplicity and scalability of this innovative machine learning approach indicate its potential for widespread implementation, offering a robust solution to address these critical health care issues on a larger scale and ultimately improve patient outcomes,&#8221; Yanzhong Wang, a professor of statistics in population health expert, said in the news release. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This research marks a significant advancement in the use of AI for health care, promising improved survival rates and optimized use of antibiotics, ultimately protecting both patient health and existing antibiotic treatments.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Scientists have harnessed the power of artificial intelligence to provide same-day assessments of antimicrobial resistance in intensive care units, revolutionizing the fight against life-threatening sepsis. Antimicrobial resistance, the ability of microorganisms to develop defenses against treatments, remains a formidable challenge for global health care. This resistance is responsible for an estimated 1.2 million deaths worldwide [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-no-separators","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[8,27],"tags":[],"class_list":["post-9418","post","type-post","status-publish","format-standard","hentry","category-ai","category-health-care"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.8 - aioseo.com -->\n\t<meta name=\"description\" content=\"A new AI technology developed by researchers at King\u2019s College London can provide same-day assessments of antimicrobial resistance in ICUs, offering faster sepsis detection and improved patient outcomes.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"The University Network\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/www.tun.com\/home\/ai-breakthrough-in-icu-faster-detection-of-antimicrobial-resistance-and-sepsis\/\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 4.9.8\" \/>\n\t\t<meta property=\"og:locale\" content=\"en_US\" \/>\n\t\t<meta property=\"og:site_name\" content=\"TUN - 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