AI can help to improve resource management within the health care system, by locating gaps in the care system, rebalancing resources, and reviewing patient data to identify priority care patients. But how do we ensure that AI systems distribute resources and care fairly? Several case studies show how bias seeping into AI technologies is underserving black and ethnic minority patients.
Study reveals rampant racism in decision-making software used by US hospitals — and highlights ways to correct it. An algorithm widely used in US hospitals to allocate health care to patients has been systematically discriminating against black people, a sweeping analysis has found. The study concluded that the algorithm was less likely to refer black […]
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By Adriana Krasniansky Interest in artificially intelligent (AI) health care has grown at an astounding pace: the global AI health care market is expected to reach $17.8 billion by 2025 and AI-powered systems are being designed to support medical activities ranging from patient diagnosis and triagin… AI-powered systems are being designed to support medical activities […]
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