AIMC Topic: Vietnam
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Circulating lncRNAs as biomarkers for severe dengue using a machine learning approach.
The Journal of infection
Mar 14, 2025
OBJECTIVES: Dengue virus (DENV) infection is a significant global health concern, causing severe morbidity and mortality. While many cases present as a mild febrile illness, some progress to life-threatening severe dengue (SD). Early intervention is ...
Mapping of high-resolution daily particulate matter (PM) concentration at the city level through a machine learning-based downscaling approach.
Environmental monitoring and assessment
Dec 23, 2024
PM pollution is a major global concern, especially in Vietnam, due to its harmful effects on health and the environment. Monitoring local PM levels is crucial for assessing air quality. However, Vietnam's state-of-the-art (SOTA) dataset with a 3 km r...
Machine learning-based assessment of regional-scale variation of landslide susceptibility in central Vietnam.
PloS one
Oct 25, 2024
Recurrent landslide events triggered by typhoons and tropical storms over Vietnam pose a longstanding threat to the nation's population and infrastructure. Changes in hydroclimatic conditions, especially the growing intensity and frequency of storms,...
Generalizability assessment of AI models across hospitals in a low-middle and high income country.
Nature communications
Sep 27, 2024
The integration of artificial intelligence (AI) into healthcare systems within low-middle income countries (LMICs) has emerged as a central focus for various initiatives aiming to improve healthcare access and delivery quality. In contrast to high-in...
Factors associated with 90-day mortality in Vietnamese stroke patients: Prospective findings compared with explainable machine learning, multicenter study.
PloS one
Sep 20, 2024
The prevalence and predictors of mortality following an ischemic stroke or intracerebral hemorrhage have not been well established among patients in Vietnam. 2885 consecutive diagnosed patients with ischemic stroke and intracerebral hemorrhage at ten...
Therapists' perspective on acceptance of robot-assisted physical rehabilitation in a middle-income country: a study from Vietnam.
Disability and rehabilitation. Assistive technology
Jul 16, 2024
Robot-assisted physical rehabilitation offers promising benefits for patients, yet its adoption among therapists remains a complex challenge. This study investigates the acceptance of robot-assisted physical rehabilitation technology among therapists...
Mitigating machine learning bias between high income and low-middle income countries for enhanced model fairness and generalizability.
Scientific reports
Jun 10, 2024
Collaborative efforts in artificial intelligence (AI) are increasingly common between high-income countries (HICs) and low- to middle-income countries (LMICs). Given the resource limitations often encountered by LMICs, collaboration becomes crucial f...
Towards a machine-learning assisted non-invasive classification of dengue severity using wearable PPG data: a prospective clinical study.
EBioMedicine
May 29, 2024
BACKGROUND: Dengue epidemics impose considerable strain on healthcare resources. Real-time continuous and non-invasive monitoring of patients admitted to the hospital could lead to improved care and outcomes. We evaluated the performance of a commerc...
Applying artificial intelligence and digital health technologies, Viet Nam.
Bulletin of the World Health Organization
May 26, 2023
PROBLEM: Direct application of digital health technologies from high-income settings to low- and middle-income countries may be inappropriate due to challenges around data availability, implementation and regulation. Hence different approaches are ne...
Three-port transoral robotic thyroidectomy without axillary incision: A preliminary report on a case series from Vietnam.
The international journal of medical robotics + computer assisted surgery : MRCAS
Apr 27, 2023
BACKGROUND: Transoral robotic thyroidectomy (TORT) is one of the newest approaches and draws attention because of its cosmetic excellence. Here, we present our preliminary data from the initial 5 consecutive patients to explore the feasibility of thr...
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