AI technologies are being used to improve diagnosis within the healthcare system, by spotting early signs of disease, and determining the severity of patient needs. However, patients from marginalised groups are at risk of being misdiagnosed, and underserved in healthcare, as racially biased algorithms are less effective for non-white patients.
Google Announces New AI App To Diagnose Skin ConditionsEarlier this week, Google announced the arrival of a new AI app to help diagnose skin conditions. It plans to launch it…
The potential for artificial intelligence in healthcareThe complexity and rise of data in healthcare means that artificial intelligence (AI) will increasingly be applied within the field. Several types of AI…
Addressing bias: artificial intelligence in cardiovascular medicineArtificial intelligence (AI) is providing opportunities to transform cardiovascular medicine. As the leading cause of morbidity and mortality worldwide, cardiovascular disease is prevalent across…
Researchers call for bias-free artificial intelligence | Stanford NewsMedical devices employing AI stand to benefit everyone in society, but if left unchecked, the technologies could unintentionally perpetuate sex, gender and…
Is a racially biased algorithm delaying healthcare for Black people?Sweeping calculation suggests it could be — but how to fix the problem is unclear. An estimated one million black adults…
If AI is going to be the world’s doctor, it needs better textbooksArtificial intelligence in healthcare currently reflects the same racial and gender biases as the culture at large. Those…
Understanding Racial Bias in Medical AI Training Data | Bill of HealthBy Adriana Krasniansky Interest in artificially intelligent (AI) health care has grown at an astounding pace: the global AI…
Does “AI” stand for augmenting inequality in the era of covid-19 healthcare?Artificial intelligence can help tackle the covid-19 pandemic, but bias and discrimination in its design and deployment risk exacerbating…
The double-edged sword of AI with bias; on the one hand it could treat every patient objectively and reduce bias, and on the other could impact certain patient populations adversely…
Can we trust AI not to further embed racial bias and prejudice?Heralded as an easy fix for health services under pressure, data technology is marching ahead unchecked. But is there…
