AIMC Topic: Poverty
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Artificial intelligence for good health: a scoping review of the ethics literature.
BMC medical ethics
Feb 15, 2021
BACKGROUND: Artificial intelligence (AI) has been described as the "fourth industrial revolution" with transformative and global implications, including in healthcare, public health, and global health. AI approaches hold promise for improving health ...
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...
Participatory modelling for poverty alleviation using fuzzy cognitive maps and OWA learning aggregation.
PloS one
Jun 8, 2020
Participatory modelling is an emerging approach in the decision-making process through which stakeholders contribute to the representation of the perceived causal linkages of a complex system. The use of fuzzy cognitive maps (FCMs) for participatory ...
COVID-19: The role of artificial intelligence in empowering the healthcare sector and enhancing social distancing measures during a pandemic.
South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde
Jun 3, 2020
Indiscriminatory in its spread, COVID-19 has engulfed communities from all social backgrounds throughout the world. While healthcare professionals work tirelessly testing for the virus and caring for patients, they too have become casualties of the p...
Ensemble machine learning and forecasting can achieve 99% uptime for rural handpumps.
PloS one
Nov 28, 2017
Broken water pumps continue to impede efforts to deliver clean and economically-viable water to the global poor. The literature has demonstrated that customers' health benefits and willingness to pay for clean water are best realized when clean water...
Reflections of Low-Income, Second-Generation Latinas About Experiences in Depression Therapy.
Qualitative health research
Jan 29, 2016
Depression is higher among second-generation Latinas compared with immigrants, but mental health treatment is stigmatized. Therefore, second-generation Latinas were interviewed after completing an eight-session depression treatment program to gain in...
Food Access in New York City During the COVID-19 Pandemic: Social Media Monitoring Study.
JMIR formative research
May 9, 2025
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
Jan 1, 2020
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
Jan 1, 2020
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...
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