{"id":65904,"date":"2026-08-22T23:27:58","date_gmt":"2026-08-22T16:27:58","guid":{"rendered":"https:\/\/www.oucru.org\/?p=65904"},"modified":"2026-08-23T22:42:19","modified_gmt":"2026-08-23T15:42:19","slug":"using-ai-to-improve-pneumonia-care-in-vietnam","status":"publish","type":"post","link":"https:\/\/www.oucru.org\/id\/using-ai-to-improve-pneumonia-care-in-vietnam\/","title":{"rendered":"Using AI to improve pneumonia care in Vietnam"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"65904\" class=\"elementor elementor-65904\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3ae54ac2 e-flex e-con-boxed e-con e-parent\" data-id=\"3ae54ac2\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4df79646 elementor-widget elementor-widget-text-editor\" data-id=\"4df79646\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Each year, community-acquired pneumonia claims more than 3 million lives in LMICs. Among patients receiving mechanical ventilation in intensive care units, around 15 per cent develop severe pneumonia, more than half of which is caused by highly drug-resistant pathogens.<\/p><p>Despite this burden, much of the evidence guiding everyday clinical care still comes from higher-income settings. Clinicians in LMICs are often required to adapt guidance developed for different healthcare systems, patient populations and diagnostic resources. In practice, that can mean making rapid decisions about respiratory support and antibiotic treatment with limited information.<\/p><figure class=\"wp-block-image aligncenter size-large\"><figure id=\"attachment_65913\" aria-describedby=\"caption-attachment-65913\" style=\"width: 800px\" class=\"wp-caption aligncenter\"><img fetchpriority=\"high\" decoding=\"async\" class=\"wp-image-65913 size-large\" src=\"https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/B9MEDIA-155-1024x620.jpg\" alt=\"\" width=\"800\" height=\"484\" srcset=\"https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/B9MEDIA-155-1024x620.jpg 1024w, https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/B9MEDIA-155-300x182.jpg 300w, https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/B9MEDIA-155-768x465.jpg 768w, https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/B9MEDIA-155-1536x929.jpg 1536w, https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/B9MEDIA-155-2048x1239.jpg 2048w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><figcaption id=\"caption-attachment-65913\" class=\"wp-caption-text\">Patients fill a crowded adult ICU at the Hospital for Tropical Diseases in Ho Chi Minh City, Vietnam.\u00a0(Photo: OUCRU, 2025)<\/figcaption><\/figure><\/figure><p>To help address this gap, an international multidisciplinary team has launched PHENOM.AI, short for <em>Discovering novel pneumonia phenotypes in Vietnamese patients using multimodal data and artificial intelligence<\/em>. Supported by a\u00a0<a href=\"https:\/\/www.oucru.org\/ai-pneumonia\/\" target=\"_blank\" rel=\"noreferrer noopener\">Wellcome Discovery Award<\/a>, the project brings together expertise from Vietnam and the UK in clinical research, pathogen diagnostics, artificial intelligence, data science, biostatistics and host-response biology.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c25ce2b elementor-widget elementor-widget-text-editor\" data-id=\"c25ce2b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h4>From UK datasets to the bedside in Vietnam<\/h4><p>Rather than importing off-the-shelf software, PHENOM.AI is building a foundation model designed specifically for infectious diseases in LMIC settings. The team will pre-train the model using large datasets such as MIMIC and UK Biobank, then fine-tune it using more than a decade of clinical data alongside newly recruited patients from Vietnamese hospitals.<\/p><p>At the heart of PHENOM.AI is a multimodal data platform that brings together three types of information: physiology and routine clinical care, pathogen diagnostics, and host response.<\/p><ul><li>The first includes continuous photoplethysmography (PPG), electrocardiograms (ECG), laboratory results and chest imaging.<\/li><li>The second combines conventional microbiology with metagenomics, multiplex PCR and 16S rRNA sequencing.<\/li><li>The third draws on multi-omic approaches, including whole-blood RNA sequencing, plasma proteomics, single-cell omics and sepsis response signature sub-phenotyping.<br \/><br \/><\/li><\/ul><p>Together, these data streams allow researchers to view pneumonia not as a single diagnosis, but as a group of distinct diseases with different biological characteristics. Rather than simply predicting which patients are most at risk, the team aims to uncover the clinical and biological patterns that explain why some people deteriorate rapidly while others respond well to standard treatment.<\/p><p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"236\" data-end=\"665\">The goal of PHENOM.AI is to create a lasting scientific and clinical resource for pneumonia research in Vietnam. This includes a foundation AI model tailored to Vietnamese clinical settings, a multimodal pneumonia dataset to support future critical care research, and biomarkers paired with decision-support algorithms to help ICU teams identify patients who may need earlier oxygen support or changes to antimicrobial treatment.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f2e6d0e elementor-blockquote--skin-border elementor-blockquote--button-color-official elementor-widget elementor-widget-blockquote\" data-id=\"f2e6d0e\" data-element_type=\"widget\" data-widget_type=\"blockquote.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<blockquote class=\"elementor-blockquote\">\n\t\t\t<p class=\"elementor-blockquote__content\">\n\t\t\t\t\u2018Pneumonia in critical care is rarely a one-size-fits-all condition. By combining deep host and pathogen profiling with continuous physiological data, we are building tools that reflect the reality of our ICUs. This collaboration between Vietnam and Oxford allows us to bring advanced data science directly into frontline clinical care, where the need is greatest.\u2019\t\t\t<\/p>\n\t\t\t\t\t\t\t<div class=\"e-q-footer\">\n\t\t\t\t\t\t\t\t\t\t\t<cite class=\"elementor-blockquote__author\">Professor Louise Thwaites<span style=\"font-weight: normal\">, Principal Investigator and Clinical Lead of PHENOM.AI<\/span><\/cite>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/blockquote>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5295edf elementor-widget elementor-widget-text-editor\" data-id=\"5295edf\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>For clinicians, the ambition is simple: provide clearer evidence to support critical decisions at the bedside.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-108eeea e-con-full e-flex e-con e-child\" data-id=\"108eeea\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-98347d6 elementor-blockquote--skin-border elementor-blockquote--button-color-official elementor-widget elementor-widget-blockquote\" data-id=\"98347d6\" data-element_type=\"widget\" data-widget_type=\"blockquote.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<blockquote class=\"elementor-blockquote\">\n\t\t\t<p class=\"elementor-blockquote__content\">\n\t\t\t\t\u2018In the ICU, knowing precisely when to escalate mechanical ventilation or changing antibiotic regimens is a constant challenge. Having an AI system trained on our local patient profile will give us clearer, earlier signals, helping us tailor therapy to the individual right at the bedside.\u2019\t\t\t<\/p>\n\t\t\t\t\t\t\t<div class=\"e-q-footer\">\n\t\t\t\t\t\t\t\t\t\t\t<cite class=\"elementor-blockquote__author\">Dr Hu\u1ef3nh Thanh B\u00ecnh<span style=\"font-weight: normal\">, Tr\u01b0ng V\u01b0\u01a1ng Hospital. <\/span><\/cite>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/blockquote>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ea34874 elementor-widget elementor-widget-text-editor\" data-id=\"ea34874\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h4>Recruiting patients in real-world ICUs<\/h4><p>To reflect routine clinical practice, PHENOM.AI aims to recruit more than 1,100 patients with community-acquired or ventilator-associated pneumonia across four partner hospitals in Vietnam, representing secondary and tertiary care settings.<\/p><p>The study is operationally demanding. Recruiting patients and collecting samples within the first six hours after they arrive at hospital requires close coordination between research teams and partner hospitals.\u00a0<\/p><p>Reflecting on these challenges, project manager <a href=\"https:\/\/www.oucru.org\/people\/nguyen-thi-le-thanh\/\">Nguy\u1ec5n Th\u1ecb L\u1ec7 Thanh<\/a> said:<\/p><blockquote data-start=\"2143\" data-end=\"2499\"><p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"2145\" data-end=\"2499\">\u2018The project is highly demanding, but it is also an invaluable opportunity for our team to strengthen our skills and capacity. Coordinating blood samples from multiple hospitals back to the OUCRU laboratory within two to four hours of collection, while maintaining strict temperature control to preserve sample quality, requires careful planning and seamless teamwork.<\/p><\/blockquote><blockquote data-start=\"2501\" data-end=\"2847\"><p data-start=\"2503\" data-end=\"2847\">\u2018At the same time, our research nurses are learning to use up to ten digital applications simultaneously to capture different types of patient data. Each participant requires up to 80 data checkpoints, and every step must follow strict research protocols and ethical standards to ensure the quality, integrity and confidentiality of the study data. It is a huge step forward in building our capacity to deliver complex clinical studies in Vietnam.\u2019<\/p><\/blockquote><figure id=\"attachment_65921\" aria-describedby=\"caption-attachment-65921\" style=\"width: 800px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/www.oucru.org\/phenomai-nguyen-thi-thap-patient-5-2\/\" rel=\"attachment wp-att-65921\"><img decoding=\"async\" class=\"wp-image-65921 size-large\" src=\"https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/PHENOMAI-Nguyen-Thi-Thap-Patient-5-1-1024x576.jpg\" alt=\"\" width=\"800\" height=\"450\" srcset=\"https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/PHENOMAI-Nguyen-Thi-Thap-Patient-5-1-1024x576.jpg 1024w, https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/PHENOMAI-Nguyen-Thi-Thap-Patient-5-1-300x169.jpg 300w, https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/PHENOMAI-Nguyen-Thi-Thap-Patient-5-1-768x432.jpg 768w, https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/PHENOMAI-Nguyen-Thi-Thap-Patient-5-1-1536x864.jpg 1536w, https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/PHENOMAI-Nguyen-Thi-Thap-Patient-5-1-2048x1152.jpg 2048w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/a><figcaption id=\"caption-attachment-65921\" class=\"wp-caption-text\">Wearable devices monitor a patient enrolled in the PHENOM.AI research at Nguy\u1ec5n Th\u1ecb Th\u1eadp Hospital, Ho Chi Minh. City, Vietnam. (Photo: Tranng Nguyen \/ OUCRU, 2026)<\/figcaption><\/figure>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2fb5532 elementor-widget elementor-widget-text-editor\" data-id=\"2fb5532\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h4>A decade in the making\u00a0<\/h4><p>PHENOM.AI builds on more than a decade of OUCRU research exploring how technology can improve critical care in Vietnam, led by Professor Louise Thwaites. Much of that work grew through the <a href=\"https:\/\/vital.oucru.org\/\">Vietnam ICU Translational Applications Laboratory (VITAL)<\/a>, which established the data platforms, clinical partnerships and technical expertise that now underpin PHENOM.AI.<\/p><p>The project reflects OUCRU&#8217;s long-term commitment to strengthening local research capacity and working in partnership with Vietnamese clinicians and scientists to address locally important health challenges.<\/p><p>Building on that foundation, PHENOM.AI continues to strengthen data systems, laboratory capacity and collaborative networks that will support future research on severe infections, while contributing to <a href=\"https:\/\/www.oucru.org\/hcmc-health-innovation\/\">Ho Chi Minh City&#8217;s growing role as a regional health technology hub.<\/a><\/p><figure id=\"attachment_65925\" aria-describedby=\"caption-attachment-65925\" style=\"width: 800px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/www.oucru.org\/group1\/\" rel=\"attachment wp-att-65925\"><img decoding=\"async\" class=\"wp-image-65925 size-large\" src=\"https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/group1-1024x486.jpg\" alt=\"Researchers and partners gather for the PHENOM.AI annual project meeting. Photo: OUCRU (2026)\u00a0\" width=\"800\" height=\"380\" srcset=\"https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/group1-1024x486.jpg 1024w, https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/group1-300x142.jpg 300w, https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/group1-768x364.jpg 768w, https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/group1-1536x729.jpg 1536w, https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/group1-2048x972.jpg 2048w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/a><figcaption id=\"caption-attachment-65925\" class=\"wp-caption-text\">Researchers and partners gather for the PHENOM.AI annual project meeting. (Photo: OUCRU. 2026)<\/figcaption><\/figure><p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"2042\" data-end=\"2174\">From 28 to 30 July 2026, researchers and clinical teams gathered in Ho Chi Minh City for the first PHENOM.AI annual project meeting.\u00a0<\/p><p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"2042\" data-end=\"2174\">The meeting brought together colleagues from OUCRU, the University of Oxford&#8217;s <a href=\"https:\/\/ibme.ox.ac.uk\/\">Institute of Biomedical Engineering<\/a> and <a href=\"https:\/\/eng.ox.ac.uk\/chi\">Computational Health Informatics Lab<\/a>, the <a href=\"https:\/\/bvbnd.vn\/\">Hospital for Tropical Diseases<\/a>, the <a href=\"https:\/\/www.benhnhietdoi.vn\/\">National Hospital for Tropical Diseases<\/a>, <a href=\"https:\/\/bvtrungvuong.vn\/\">Tr\u01b0ng V\u01b0\u01a1ng Hospital<\/a> and <a href=\"https:\/\/bvdknguyenthithap.vn\/\">Nguy\u1ec5n Th\u1ecb Th\u1eadp General Hospital<\/a>. Alongside scientific discussions, the programme included visits to partner hospitals to review study implementation and strengthen collaboration across participating sites.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-81c66fd elementor-arrows-position-inside elementor-pagination-position-outside elementor-widget elementor-widget-image-carousel\" data-id=\"81c66fd\" data-element_type=\"widget\" data-settings=\"{&quot;slides_to_show&quot;:&quot;2&quot;,&quot;slides_to_scroll&quot;:&quot;2&quot;,&quot;lazyload&quot;:&quot;yes&quot;,&quot;navigation&quot;:&quot;both&quot;,&quot;autoplay&quot;:&quot;yes&quot;,&quot;pause_on_hover&quot;:&quot;yes&quot;,&quot;pause_on_interaction&quot;:&quot;yes&quot;,&quot;autoplay_speed&quot;:5000,&quot;infinite&quot;:&quot;yes&quot;,&quot;speed&quot;:500}\" data-widget_type=\"image-carousel.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-image-carousel-wrapper swiper\" role=\"region\" aria-roledescription=\"carousel\" aria-label=\"Image Carousel\" dir=\"ltr\">\n\t\t\t<div class=\"elementor-image-carousel swiper-wrapper swiper-image-stretch\" aria-live=\"off\">\n\t\t\t\t\t\t\t\t<div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"1 of 12\"><figure class=\"swiper-slide-inner\"><img class=\"swiper-slide-image swiper-lazy\" data-src=\"https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/DSCF0257-2-scaled.jpg\" alt=\"DSCF0257-2\" \/><div class=\"swiper-lazy-preloader\"><\/div><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"2 of 12\"><figure class=\"swiper-slide-inner\"><img class=\"swiper-slide-image swiper-lazy\" data-src=\"https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/PHENOMAI-Meeting-8-scaled.jpg\" alt=\"PHENOM.AI\" \/><div class=\"swiper-lazy-preloader\"><\/div><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"3 of 12\"><figure class=\"swiper-slide-inner\"><img class=\"swiper-slide-image swiper-lazy\" data-src=\"https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/PHENOMAI-Meeting-22-scaled.jpg\" alt=\"PHENOM.AI\" \/><div class=\"swiper-lazy-preloader\"><\/div><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"4 of 12\"><figure class=\"swiper-slide-inner\"><img class=\"swiper-slide-image swiper-lazy\" data-src=\"https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/PHENOMAI-Meeting-7-scaled.jpg\" alt=\"PHENOM.AI\" \/><div class=\"swiper-lazy-preloader\"><\/div><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"5 of 12\"><figure class=\"swiper-slide-inner\"><img class=\"swiper-slide-image swiper-lazy\" data-src=\"https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/PHENOMAI-Meeting-15-scaled.jpg\" alt=\"PHENOM.AI\" \/><div class=\"swiper-lazy-preloader\"><\/div><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"6 of 12\"><figure class=\"swiper-slide-inner\"><img class=\"swiper-slide-image swiper-lazy\" data-src=\"https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/PHENOMAI-Meeting-21-scaled.jpg\" alt=\"PHENOM.AI\" \/><div class=\"swiper-lazy-preloader\"><\/div><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"7 of 12\"><figure class=\"swiper-slide-inner\"><img class=\"swiper-slide-image swiper-lazy\" data-src=\"https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/Wearable-Device-Workshop-3-scaled.jpg\" alt=\"PHENOM.AI\" \/><div class=\"swiper-lazy-preloader\"><\/div><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"8 of 12\"><figure class=\"swiper-slide-inner\"><img class=\"swiper-slide-image swiper-lazy\" data-src=\"https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/Wearable-Device-Workshop-2-scaled.jpg\" alt=\"PHENOM.AI\" \/><div class=\"swiper-lazy-preloader\"><\/div><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"9 of 12\"><figure class=\"swiper-slide-inner\"><img class=\"swiper-slide-image swiper-lazy\" data-src=\"https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/PHENOMAI-Meeting-34-scaled.jpg\" alt=\"PHENOM.AI\" \/><div class=\"swiper-lazy-preloader\"><\/div><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"10 of 12\"><figure class=\"swiper-slide-inner\"><img class=\"swiper-slide-image swiper-lazy\" data-src=\"https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/DSCF0551-2.jpg\" alt=\"DSCF0551-2\" \/><div class=\"swiper-lazy-preloader\"><\/div><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"11 of 12\"><figure class=\"swiper-slide-inner\"><img class=\"swiper-slide-image swiper-lazy\" data-src=\"https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/DSCF0523-2.jpg\" alt=\"DSCF0523-2\" \/><div class=\"swiper-lazy-preloader\"><\/div><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"12 of 12\"><figure class=\"swiper-slide-inner\"><img class=\"swiper-slide-image swiper-lazy\" data-src=\"https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/DSCF0535-2.jpg\" alt=\"DSCF0535-2\" \/><div class=\"swiper-lazy-preloader\"><\/div><\/figure><\/div>\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-swiper-button elementor-swiper-button-prev\" role=\"button\" tabindex=\"0\">\n\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"eicon-chevron-left\"><\/i>\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"elementor-swiper-button elementor-swiper-button-next\" role=\"button\" tabindex=\"0\">\n\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"eicon-chevron-right\"><\/i>\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<div class=\"swiper-pagination\"><\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-965f116 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"965f116\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-79bd5fd e-flex e-con-boxed e-con e-parent\" data-id=\"79bd5fd\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7a8a442 elementor-widget elementor-widget-text-editor\" data-id=\"7a8a442\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>OUCRU thanks all investigators, collaborators and partner hospitals for their continued commitment to PHENOM.AI and to improving pneumonia care through collaborative research:<\/p><p><strong data-start=\"373\" data-end=\"397\">University of Oxford<\/strong><\/p><ul><li><a href=\"https:\/\/eng.ox.ac.uk\/chi\/team\">Professor David Clifton<\/a><\/li><li><a href=\"https:\/\/www.phc.ox.ac.uk\/team\/lei-clifton\">Associate Professor Lei Clifton<\/a><\/li><li><a href=\"https:\/\/www.ndm.ox.ac.uk\/team\/julian-knight\">Professor Julian Knight<\/a><br \/><br \/><\/li><\/ul><p><strong data-start=\"493\" data-end=\"502\">OUCRU<\/strong><\/p><ul><li><a href=\"https:\/\/www.oucru.org\/people\/louise-thwaites\/\">Professor Louise Thwaites<\/a><\/li><li><a href=\"https:\/\/www.oucru.org\/people\/le-van-tan\/\">Professor L\u00ea V\u0103n T\u1ea5n<\/a><\/li><li><a href=\"https:\/\/www.oucru.org\/people\/ho-bich-hai\/\">Dr H\u1ed3 B\u00edch H\u1ea3i<\/a><\/li><li><a href=\"https:\/\/www.oucru.org\/people\/pham-thanh-duy\/\">Dr Ph\u1ea1m Thanh Duy<\/a><\/li><\/ul><p><strong data-start=\"602\" data-end=\"634\"><br \/>Site Principal Investigators<\/strong><\/p><ul><li>Dr Nguy\u1ec5n L\u00ea Nh\u01b0 T\u00f9ng, Specialist II, Deputy Director, Hospital for Tropical Diseases<\/li><li>Associate Professor Dr Tr\u1ea7n V\u0103n Giang, Director, Institute for Training and Research in Tropical Diseases, National Hospital for Tropical Diseases<\/li><li>Dr Hu\u1ef3nh Ng\u1ecdc H\u1edbn, Specialist II, Director, Tr\u01b0ng V\u01b0\u01a1ng Hospital<\/li><li>Dr L\u01b0\u01a1ng Ho\u00e0ng Li\u00eam, Specialist II, Deputy Director, Nguy\u1ec5n Th\u1ecb Th\u1eadp General Hospital<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Pneumonia remains one of the greatest challenges in critical care, particularly across low- and middle-income countries (LMICs). Using artificial intelligence and multimodal clinical data, OUCRU is leading an international research programme to improve how pneumonia is diagnosed, risk-stratified and treated.<\/p>\n","protected":false},"author":39,"featured_media":65909,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":"","_wp_rev_ctl_limit":""},"categories":[79,144],"tags":[],"class_list":["post-65904","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-ho-chi-minh"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.3.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Using AI to improve pneumonia care in Vietnam - OUCRU<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.oucru.org\/id\/using-ai-to-improve-pneumonia-care-in-vietnam\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Using AI to improve pneumonia care in Vietnam - OUCRU\" \/>\n<meta property=\"og:description\" content=\"Pneumonia remains one of the greatest challenges in critical care, particularly across low- and middle-income countries (LMICs). Using artificial intelligence and multimodal clinical data, OUCRU is leading an international research programme to improve how pneumonia is diagnosed, risk-stratified and treated.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.oucru.org\/id\/using-ai-to-improve-pneumonia-care-in-vietnam\/\" \/>\n<meta property=\"og:site_name\" content=\"OUCRU\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/OUCRUVN\/\" \/>\n<meta property=\"article:published_time\" content=\"2026-08-22T16:27:58+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-08-23T15:42:19+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/Screenshot-2026-08-22-at-22.42.33.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1668\" \/>\n\t<meta property=\"og:image:height\" content=\"634\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Trang Nguyen\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@OUCRU_Programme\" \/>\n<meta name=\"twitter:site\" content=\"@OUCRU_Programme\" \/>\n<meta name=\"twitter:label1\" content=\"Ditulis oleh\" \/>\n\t<meta name=\"twitter:data1\" content=\"Trang Nguyen\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimasi waktu membaca\" \/>\n\t<meta name=\"twitter:data2\" content=\"8 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.oucru.org\/id\/using-ai-to-improve-pneumonia-care-in-vietnam\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.oucru.org\/id\/using-ai-to-improve-pneumonia-care-in-vietnam\/\"},\"author\":{\"name\":\"Trang Nguyen\",\"@id\":\"https:\/\/www.oucru.org\/id\/#\/schema\/person\/06e0edb26315e529d5c21ffa2d6650e1\"},\"headline\":\"Using AI to improve pneumonia care in Vietnam\",\"datePublished\":\"2026-08-22T16:27:58+00:00\",\"dateModified\":\"2026-08-23T15:42:19+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.oucru.org\/id\/using-ai-to-improve-pneumonia-care-in-vietnam\/\"},\"wordCount\":1169,\"publisher\":{\"@id\":\"https:\/\/www.oucru.org\/id\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.oucru.org\/id\/using-ai-to-improve-pneumonia-care-in-vietnam\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.oucru.org\/wp-content\/uploads\/2026\/08\/Screenshot-2026-08-22-at-22.42.33.png\",\"articleSection\":[\"News\",\"OUCRU Ho Chi Minh\"],\"inLanguage\":\"id\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.oucru.org\/id\/using-ai-to-improve-pneumonia-care-in-vietnam\/\",\"url\":\"https:\/\/www.oucru.org\/id\/using-ai-to-improve-pneumonia-care-in-vietnam\/\",\"name\":\"Using AI to improve pneumonia care in Vietnam - 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