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AI and Bias in Healthcare

This guest panel series examines the use of AI in assisting healthcare, with a particular focus on automating tasks, communicating diagnoses and allocating resources. It examines the sources of bias in AI integrated systems and what we can do to eliminate it.

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Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19

Abstract. The COVID-19 pandemic is presenting a disproportionate impact on minorities in terms of infection rate, hospitalizations, and mortality. In terms of infection rate, hospitalisation and mortality, the Covid-19 pandemic presents a disproportionate impact on minorities. Many believe that artificial intelligence could be a solution to guide clinical decision making to overcome this novel disease. […]

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The Potential for AI in healthcare

The complexity and rise of data in healthcare means that artificial intelligence (AI) will increasingly be applied within the field. Several types of AI are already being employed by payers and providers of care, and life sciences companies. The key categories … This report discusses current applications of AI as well as potential future applications […]

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Addressing Bias: Artificial Intelligence in Cardiovascular Medicine

Artificial intelligence (AI) is providing opportunities to transform cardiovascular medicine. As the leading cause of morbidity and mortality worldwide, cardiovascular disease is prevalent across all populations, with clear benefit to operationalise clinical and biomedical data to improve workflow… Medical paper which examines the potential of Artificial Intelligence in cardiovascular medicine; it could hugely benefit patient […]

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Debiasing artificial intelligence: Stanford researchers call for efforts to ensure that AI technologies do not exacerbate health care disparities

Medical devices employing AI stand to benefit everyone in society, but if left unchecked, the technologies could unintentionally perpetuate sex, gender and race biases. Medical devices utilising AI technologies stand to reduce general biases in the health care system, however, if left unchecked, the technologies could unintentionally perpetuate sex, gender, and race biases. The AI […]

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Is a racially biased algorithm delaying healthcare for one million black people?

Sweeping calculation suggests it could be — but how to fix the problem is unclear. An estimated one million black adults would be transferred earlier for kidney disease if US health systems removed a ‘race-based correction factor’ from an algorithm they use to diagnose people and decide whether to administer medication. There is a debate […]

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If AI is going to be the world’s doctor, it needs better textbooks

Artificial intelligence in healthcare currently reflects the same racial and gender biases as the culture at large. Those prejudices are built into the data. AI technologies are being used to diagnose Alzheimer’s disease by assessing speech. This technology could aid early diagnosis of Alzheimer’s. However, it’s evident that the algorithms behind this technology are trained […]

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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 a risk it could compound inequalities? Poppy Noor investigates. Journalist Poppy Noor investigates how black people with melanoma are being underserved in healthcare, and the link to the racist algorithms driving new cancer software. Most of […]

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How a Popular Medical Device Encodes Racial Bias

Pulse oximeters give biased results for people with darker skin. The consequences could be serious. COVID-19 care has brought the pulse oximeter to the home, it’s a medical device that helps to understand your oxygen saturation levels. This article examines research that shows oximetry’s racial bias. Oximeters have been calibrated, tested and developed using light-skinned […]

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Skin Deep: Racial Bias in Wearable Tech

Technology influences the way we eat, sleep, exercise, and perform our daily routines. But what to do when we discover the technology we rely on is built on faulty methodology and… Health monitoring devices influence the way that we eat, sleep, exercise, and perform our daily routines. But what do we do when we discover […]

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Artificial Intelligence in Healthcare: The Need for Ethics

The advent of AI promises to revolutionise the way we think about medicine and healthcare, but who do we hold accountable when automated procedures go awry? In this talk, Varoon focuses on the lack of affordable medicines within healthcare and the concerns over racial bias being brought into the healthcare system.

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AI, Medicine, and Bias: Diversifying Your Dataset is Not Enough

Using the example of machine learning in medicine as an example, Rachel Thomas examines examples of racial bias within the AI technologies driving modern-day medicines and treatments. Rachel Thomas argues that whilst the diversity of your data set, and performance of your model across different demographic groups is important, this is only a narrow slice […]

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Addressing Bias: Artificial Intelligence in Cardiovascular Medicine

As the leading cause of morbidity and mortality worldwide, cardiovascular disease is prevalent across all populations. Artificial intelligence (AI) is providing opportunities to transform cardiovascular medicine. Medical report which examines the potential of Artificial Intelligence in cardiovascular medicine; it could hugely benefit patient diagnosis and treatment of what is the leading cause of morbidity and […]

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