AIMC Topic: World Health Organization
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Machine Learning Model for Imbalanced Cholera Dataset in Tanzania.
TheScientificWorldJournal
Jul 25, 2019
Cholera epidemic remains a public threat throughout history, affecting vulnerable population living with unreliable water and substandard sanitary conditions. Various studies have observed that the occurrence of cholera has strong linkage with enviro...
WHO and ITU establish benchmarking process for artificial intelligence in health.
Lancet (London, England)
Mar 29, 2019
Contrast enhancement is a prognostic factor in IDH1/2 mutant, but not in wild-type WHO grade II/III glioma as confirmed by machine learning.
European journal of cancer (Oxford, England : 1990)
Dec 7, 2018
BACKGROUND: Mutation of the isocitrate dehydrogenase (IDH) gene and co-deletion on chromosome 1p/19q is becoming increasingly relevant for the evaluation of clinical outcome in glioma. Among the imaging parameters, contrast enhancement (CE) in WHO II...
Humanitarian health computing using artificial intelligence and social media: A narrative literature review.
International journal of medical informatics
Jan 31, 2018
INTRODUCTION: According to the World Health Organization (WHO), over 130 million people are in constant need of humanitarian assistance due to natural disasters, disease outbreaks, and conflicts, among other factors. These health crises can compromis...
Comparative analysis of language models in addressing syphilis-related queries.
Medicina oral, patologia oral y cirugia bucal
Jul 1, 2025
BACKGROUND: Syphilis, caused by Treponema pallidum, is a significant global health concern with potentially severe complications if untreated. Advances in artificial intelligence (AI), particularly large language models (LLMs), offer opportunities to...
An epidemiological knowledge graph extracted from the World Health Organization's Disease Outbreak News.
Scientific data
Jun 10, 2025
The rapid evolution of artificial intelligence (AI), together with the increased availability of social media and news for epidemiological surveillance, is marking a pivotal moment in epidemiology and public health research. By harnessing the capabil...
Vaccination hesitancy: agreement between WHO and ChatGPT-4.0 or Gemini Advanced.
Annali di igiene : medicina preventiva e di comunita
Jan 1, 2025
BACKGROUND: An increasing number of individuals use online Artificial Intelligence (AI) - based chatbots to retrieve information on health-related topics. This study aims to evaluate the accuracy in answering vaccine-related answers of the currently ...
Diffusion-weighted MRI precisely predicts telomerase reverse transcriptase promoter mutation status in World Health Organization grade IV gliomas using a residual convolutional neural network.
The British journal of radiology
Nov 1, 2024
OBJECTIVES: Telomerase reverse transcriptase promoter (pTERT) mutation status plays a key role in making decisions and predicting prognoses for patients with World Health Organization (WHO) grade IV glioma. This study was conducted to assess the valu...
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