New Medicines and Treatments

Modern Medicines and treatments can be improved with the progression of AI in medicine by discovering new drugs, personalising treatments, and speeding up chemical trials. But if the racial exclusion common in biomedical research seeps into the data behind AI there’s a risk that these medicines won’t be effective for everyone.

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Studies find bias in AI models that recommend treatments and diagnose diseases

New research shows that AI models designed for health care settings can exhibit bias against certain ethnic and gender groups. Machine learning models for healthcare hold promise in improving medical treatments by improving predictions of care and mortality, however their black box nature, and bias in training data sets leaves them vulnerable to instead hinder […]

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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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Bias + Artificial Intelligence (in Medicine)

Talk by Rachel Thomas on the prevalence of bias within AI-based technology used in medicine. AI has the potential to remove human biases in the healthcare system, however its integration within medicine could also amplify the existing biases.

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Racial Bias in Science and Medicine: Who’s Included?

A short video examining the lack of inclusion within clinical biomedical research, and the consequence this has on the effectiveness of the treatments and medicines for non-white patients. Lack of research on minority patients means that we do not understand the racial differences in drug response, and so approved medical treatments are excluding a huge […]

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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 existing health inequity argue David Leslie and colleagues Among the most damaging characteristics of the covid-19 pandemic has been its disproportionate effect… A team of medical ethics researchers are arguing that bias and discrimination within AI […]

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The Need for Use of Race Correction in Clinical Algorithms

Medicine and Society from The New England Journal of Medicine — Hidden in Plain Sight — Reconsidering the Use of Race Correction in Clinical Algorithms Physicians still lack consensus on the meaning of race within medical science; there is an ongoing debate as to whether racial and ethnic categories can reflect underlying population genetics, and […]

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‘Objective’ Science and White Bias: BAME Under-Representation in Biomedical Research (Part 2)

By Amber Roguski. This is the second post in a two-part blog series. It explores the under-representation of Minority Ethnic individuals as participants in biomedical research. This article explores racial bias and exclusion within biomedical research. White People are 87% more likely to be included in medical research than people from a Minority Ethnic Background, […]

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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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