This article looks at how artificial intelligence can support training and work of young community health volunteers. It explains that AI tools can help them learn better, stay motivated, and improve how they deliver health services, especially in low-resource areas. The authors also stress that these tools must be designed in a fair and inclusive way so they do not increase … [Read more...] about Transforming public health practice through artificial intelligence: strengthening youth community health volunteer capacity
Artificial intelligence
Artificial Intelligence Literacy for Community Health Workers!
This course teaches community health workers how to understand and use artificial intelligence in their daily work. It covers what AI is, how it can support health care, how to protect people’s information, and how to think carefully about AI responses. The goal is to help community health workers use AI safely and responsibly, while combining it with their own judgement and … [Read more...] about Artificial Intelligence Literacy for Community Health Workers!
A Community-Based Usability Study of an AI-Enabled Oral Cancer Screening App Operated by Village Health Volunteers: Mixed Methods Study
This study developed a mobile app that uses artificial intelligence to help community health volunteers in Thailand screen for oral cancer. The app was easy to use, worked well in identifying possible cases, and was well accepted by the volunteers. It helped bring screening closer to communities and could reduce delays in diagnosis. The study shows that simple digital tools can … [Read more...] about A Community-Based Usability Study of an AI-Enabled Oral Cancer Screening App Operated by Village Health Volunteers: Mixed Methods Study
Analyzing 3429 digital supervisory interactions between Community Health Workers in Uganda and Kenya: the development, testing and validation of an open access predictive machine learning web app
The goal of this study was to document the development and validation of the web application, CHWsupervisor, while reporting its predictive accuracy. CHWsupervisor was developed as an open access, machine learning web application to predictively code instant messages exchanged between CHWs based on supervisory interaction codes. It was created using instant messages exchanged … [Read more...] about Analyzing 3429 digital supervisory interactions between Community Health Workers in Uganda and Kenya: the development, testing and validation of an open access predictive machine learning web app