Fair and Safe Medical AI

Many people noticed health disparities during the COVID-19 pandemic, but these differences have existed in medicine for a long time and are deeply ingrained.

The applications of artificial intelligence in healthcare and health research are vast, but it is crucial that these technologies do not continue the history of bias and inequity present in healthcare. As pressures on healthcare systems and innovation in AI means these technologies are increasingly seen as crucial elements of adaptable and successful healthcare systems, it is incredibly important we ensure that they are not doing more harm than good due to biases in data and algorithms.

In this theme, we are working with international collaborators on improving AI technologies, assessing their biases and producing representative data, all with the aim of using AI to improve healthcare for all.

Featured Projects

	Ethnicity, Equity and AI
	Medical AI in South Asia
	Rare heart diseases during the COVID-19 Pandemic

LINKS AND PUBLICATIONS FROM OTHER PROJECTS

	COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records
	A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data