AIMC Topic: Poverty

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Impact of health policy reforms on telemedicine and AI integration for early cancer detection among low-income populations in South Asia: A comparative policy analysis.

African journal of reproductive health
Early cancer detection remains a major challenge in low- and middle-income countries (LMICs), where late diagnoses and unequal healthcare access are widespread. While digital innovations such as telemedicine and artificial intelligence (AI) offer sig...

Food Access in New York City During the COVID-19 Pandemic: Social Media Monitoring Study.

JMIR formative research
BACKGROUND: The COVID-19 pandemic exacerbated issues of poverty and food insecurity in New York City, and many residents experienced difficulty accessing available resources to help them get food on the table. Social media presents an opportunity to ...

Exploring the Potential of Artificial Intelligence and Machine Learning to Combat COVID-19 and Existing Opportunities for LMIC: A Scoping Review.

Journal of primary care & community health
BACKGROUND: In the face of the current time-sensitive COVID-19 pandemic, the limited capacity of healthcare systems resulted in an emerging need to develop newer methods to control the spread of the pandemic. Artificial Intelligence (AI), and Machine...

"Sorry I Didn't Hear You." The Ethics of Voice Computing and AI in High Risk Mental Health Populations.

AJOB neuroscience
This article examines the ethical and policy implications of using voice computing and artificial intelligence to screen for mental health conditions in low income and minority populations. Mental health is unequally distributed among these groups, w...

Assessing the field of health policy and systems research using symposium abstract submissions and machine learning techniques.

Health policy and planning
The field of health policy and systems research (HPSR) has grown rapidly in the past decade. Examining recently aggregated data from the Global Symposia on Health Systems Research, a key global fora for HPSR convened by the largest international soci...

Artificial Intelligence and global health: opportunities and challenges.

Emerging topics in life sciences
Artificial Intelligence (AI) offers unprecedented opportunities and challenges for humanity. If AI can be positioned and leveraged correctly, it can rapidly accelerate progress on achieving the United Nations' Sustainable Development Goals (SDGs), in...

The impact of social housing on mental health: longitudinal analyses using marginal structural models and machine learning-generated weights.

International journal of epidemiology
BACKGROUND: Social housing may provide an affordable and secure residential environment, but has also been associated with stigma, poor housing conditions and locational disadvantage. We examined the cumulative effect of additional years, and tenure ...

Combining satellite imagery and machine learning to predict poverty.

Science (New York, N.Y.)
Reliable data on economic livelihoods remain scarce in the developing world, hampering efforts to study these outcomes and to design policies that improve them. Here we demonstrate an accurate, inexpensive, and scalable method for estimating consumpt...