AIMC Topic: Developing Countries

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Generalizability assessment of AI models across hospitals in a low-middle and high income country.

Nature communications
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)
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 ...

Predicting high blood pressure using machine learning models in low- and middle-income countries.

BMC medical informatics and decision making
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
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...

Mitigating machine learning bias between high income and low-middle income countries for enhanced model fairness and generalizability.

Scientific reports
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
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,...

The advancement of artificial intelligence in biomedical research and health innovation: challenges and opportunities in emerging economies.

Globalization and health
The advancement of artificial intelligence (AI), algorithm optimization and high-throughput experiments has enabled scientists to accelerate the discovery of new chemicals and materials with unprecedented efficiency, resilience and precision. Over th...

Research and application of artificial intelligence in dentistry from lower-middle income countries - a scoping review.

BMC oral health
Artificial intelligence (AI) has been integrated into dentistry for improvement of current dental practice. While many studies have explored the utilization of AI in various fields, the potential of AI in dentistry, particularly in low-middle income ...