AI Assistants for Low-Income Hospitals Take Shape

Hospitals in low-income countries struggle to provide high-quality diagnostic imaging due to a shortage of specialists. To address this issue, researchers at the University of Barcelona are developing new AI assistants that can operate offline on low-power devices.

The project aims to improve healthcare outcomes in resource-poor settings where access to advanced medical technology is severely limited. This goal won’t be easy to achieve, given the challenges these hospitals face every day.

Karim Lekadir and his team have been awarded a Proof of Concept grant worth 150,000 euros from the European Research Council. With this funding, they can develop AI-powered conversational assistants that provide real-time guidance to healthcare professionals with minimal training. These systems could change how medical imaging works in low-resource settings.

The current generation of generative AI technologies is designed for high-income countries and well-resourced hospitals. They’re not suited for resource-limited environments because they require cloud connectivity and complex computational power, which can be hard to meet in areas with limited infrastructure. The GenAIMIX project aims to overcome these challenges by creating solutions tailored to the specific needs of low-resource settings.

The new AI assistants will operate offline, use local languages, and provide intuitive guidance to healthcare professionals. This is essential for improving antenatal care through diagnostic imaging in countries like Kenya, where access to advanced medical technology is severely limited. The project’s impact will be evaluated by deploying the system in three rural maternal health clinics in Kenya.

The ultimate goal of GenAIMIX is to expand its coverage to other African countries and improve healthcare outcomes in resource-poor settings. By developing AI assistants that can operate offline on low-power devices, researchers hope to bridge the gap between high-income and low-income countries when it comes to access to advanced medical technology.