Artificial Intelligence in Healthcare: Addressing Bias for Equity
Artificial intelligence (AI) and machine learning (ML) are reshaping healthcare — from diagnostics and risk prediction to operational planning and personalised care. But as these technologies become more embedded in health systems, concerns are growing about who benefits — and who may be left behind.
We examine how bias can enter AI tools used in healthcare, the potential impact on marginalised or underrepresented populations, and what can be done to ensure more equitable development, deployment, and use of AI.
"Any healthcare development that doesn't rapidly become available to all individuals has the unintended but inevitable consequence of fuelling health inequality."
Geoff Watts, The Lancet Digital Health