AIMC Topic: Developing Countries
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Digitalization of health care in low- and middle-income countries.
Bulletin of the World Health Organization
Dec 3, 2024
The rising incidence of noncommunicable diseases, combined with the costs of mitigating climate change, sovereign debt and regional conflicts, is undermining global health security and threatening progress towards achieving the sustainable developmen...
Comparative Scoping Review: Robot-Assisted Upper Limb Stroke Rehabilitation in Low- and Middle-Income Countries Versus High-Income Nations.
Archives of physical medicine and rehabilitation
Oct 11, 2024
OBJECTIVE: To examine robotic interventions for upper limb rehabilitation poststroke, focusing on geographic distribution, stroke chronicity, outcome measures, outcomes of robotic interventions, and publication trends in low- and middle-income countr...
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...
Explainability of artificial neural network in predicting career fulfilment among medical doctors in developing nations: Applicability and implications.
Social science & medicine (1982)
Sep 11, 2024
BACKGROUND: Career fulfilment among medical doctors is crucial for job satisfaction, retention, and healthcare quality, especially in developing nations with challenging healthcare systems. Traditional career guidance methods struggle to address the ...
Development and Internal-External Validation of a Post-Operative Mortality Risk Calculator for Pediatric Surgical Patients in Low- and Middle- Income Countries Using Machine Learning.
Journal of pediatric surgery
Aug 29, 2024
BACKGROUND: The purpose of this study was to develop and validate a mortality risk algorithm for pediatric surgery patients treated at KidsOR sites in 14 low- and middle-income countries.
Predicting high blood pressure using machine learning models in low- and middle-income countries.
BMC medical informatics and decision making
Aug 23, 2024
Responding to the rising global prevalence of noncommunicable diseases (NCDs) requires improvements in the management of high blood pressure. Therefore, this study aims to develop an explainable machine learning model for predicting high blood pressu...
Use of artificial intelligence to address health disparities in low- and middle-income countries: a thematic analysis of ethical issues.
Public health
Jul 3, 2024
OBJECTIVES: Artificial intelligence (AI) is reshaping health and medicine, especially through its potential to address health disparities in low- and middle-income countries (LMICs). However, there are several issues associated with the use of AI tha...
Artificial intelligence in surgical oncology: Enhancing precision and personalized treatment in low- and middle-income countries.
Journal of surgical oncology
Jun 21, 2024
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 equitable AI in oncology.
Nature reviews. Clinical oncology
Jun 7, 2024
Artificial intelligence (AI) stands at the threshold of revolutionizing clinical oncology, with considerable potential to improve early cancer detection and risk assessment, and to enable more accurate personalized treatment recommendations. However,...
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