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
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
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
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
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
A team of medical ethics researchers are arguing that bias and discrimination within AI design and deployment risk exacerbating existing health inequity. The Covid-19 pandemic
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
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
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
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