AIMC Topic: Developing Countries
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Right population, right resources, right algorithm: Using machine learning efficiently and effectively in surgical systems where data are a limited resource.
Surgery
Jan 5, 2021
There is a growing interest in using machine learning algorithms to support surgical care, diagnostics, and public health surveillance in low- and middle-income countries. From our own experience and the literature, we share several lessons for devel...
Comparing machine learning with case-control models to identify confirmed dengue cases.
PLoS neglected tropical diseases
Nov 10, 2020
In recent decades, the global incidence of dengue has increased. Affected countries have responded with more effective surveillance strategies to detect outbreaks early, monitor the trends, and implement prevention and control measures. We have appli...
Assessment of User Needs for Telemedicine Robots in a Developing Nation Hospital Setting.
Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Oct 23, 2020
This study aimed to investigate the needs of medical users of telemedicine robots to encourage international cooperation and development. As the use of telemedicine expands, it is necessary to develop new systems, including robots, which consider t...
Artificial Intelligence in Low- and Middle-Income Countries: Innovating Global Health Radiology.
Radiology
Oct 6, 2020
Scarce or absent radiology resources impede adoption of artificial intelligence (AI) for medical imaging by resource-poor health institutions. They face limitations in local equipment, personnel expertise, infrastructure, data-rights frameworks, and ...
Efficacy of deep learning methods for predicting under-five mortality in 34 low-income and middle-income countries.
BMJ open
Aug 16, 2020
OBJECTIVES: To explore the efficacy of machine learning (ML) techniques in predicting under-five mortality (U5M) in low-income and middle-income countries (LMICs) and to identify significant predictors of U5M.
Artificial intelligence in health care: laying the Foundation for Responsible, sustainable, and inclusive innovation in low- and middle-income countries.
Globalization and health
Jun 24, 2020
The World Health Organization and other institutions are considering Artificial Intelligence (AI) as a technology that can potentially address some health system gaps, especially the reduction of global health inequalities in low- and middle-income c...
Knowledge transfer as a tool towards improvement of cancer care in low- and middle-income countries. 6th European Roundtable Meeting (ERTM), June 14th, 2019, Berlin, Germany.
Journal of cancer research and clinical oncology
Apr 8, 2020
PURPOSE: To identify key factors for the best practice of knowledge transfer from high-income settings to low- and middle-income settings.
Multi-Modal Diagnosis of Infectious Diseases in the Developing World.
IEEE journal of biomedical and health informatics
Jan 9, 2020
In low and middle income countries, infectious diseases continue to have a significant impact, particularly amongst the poorest in society. Tetanus and hand foot and mouth disease (HFMD) are two such diseases and, in both, death is associated with au...
Robotic Exoskeleton for Wrist and Fingers Joint in Post-Stroke Neuro-Rehabilitation for Low-Resource Settings.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Sep 23, 2019
Robots have the potential to help provide exercise therapy in a repeatable and reproducible manner for stroke survivors. To facilitate rehabilitation of the wrist and fingers joint, an electromechanical exoskeleton was developed that simultaneously m...
Development of pedestrian crash prediction model for a developing country using artificial neural network.
International journal of injury control and safety promotion
Jul 4, 2019
Urban intersections in India constitute a significant share of pedestrian fatalities. However, model-based prediction of pedestrian fatalities is still in a nascent stage in India. This study proposes an artificial neural network (ANN) technique to d...
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