Health and Social Care

The intent of the study was to determine the influence of skin type and wavelength on light reflectance for pulse rate detection. PPG sensors detecting changes in blood flow are […]

The ability to measure physical activity through wrist-worn devices provides an opportunity for cardiovascular medicine. However, the accuracy of commercial devices is largely unknown. The aim of this work is […]

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 […]

Show Analytics Exchange: Podcasts from SAS, Ep The Health Pulse: AI and Bias in Healthcare – Mar 5, 2021 Data scientist Hiwot Tesfaye joins Greg for a conversation about the […]

AI is helping healthcare organisations determine care management programs and treatment plans – who gets what care – but these models and algorithms can be biased and introduce discrimination in […]

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 […]

This study sheds more light on factors affecting perceived risks and proposes some recommendations on how to practically reduce these concerns. The findings of this study provide implications for research […]

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 […]

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 […]

A new article in the Journal of the American Medical Informatics Association points to the dissemination of “under-developed and potentially biased models” in response to the novel coronavirus. This article […]

Earlier this week, Google announced the arrival of a new AI app to help diagnose skin conditions. It plans to launch it in Europe later this year. This article discusses […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

AI technologies have the potential to save thousands of people from skin cancer yearly, by aiding early diagnosis. However, this shift is also potentially dangerous for darker-skinned patients, as the […]

Many devices and treatments work less well for them This article explores how the pulse oximeter, a device used to test oxygen levels in blood for coronavirus patients, exhibits racial […]

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 […]

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 […]

Many popular wearable heart rate trackers rely on technology that could be less accurate for consumers who have darker skin, researchers, engineers and other experts told STAT. An estimated 40 […]

An algorithm used in the US supposed to estimate kidney function, the severity of the disease and allocation of kidney transplants, is found to be racially skewed, under-allocating necessary resources […]

Deep learning algorithms using data from homogeneous populations may be difficult to generalise, and potentially exacerbate racial disparities in health and health care. This research paper explores (1) whether the […]

New York news video reporting on the investigation into UnitedHealth Group over allegations that they are utilising a racially biased algorithm. A new study reports that the new AI software […]

News article, drawing on a study by Nature Medicine, which explains how algorithms might be able to help tackle racial biases within doctors’ own judgements. Doctors’ judgement of how much […]

This article explains how bias in AI systems is contributing to the exacerbation of racial health disparities. There is a huge issue with the misrepresentation of our data sets, which […]

A short article examining Google’s new AI for mammograms. It has hopes of replacing human radiologists with faster and more accurate diagnosis. However, there are worries over its accuracy in […]

Artificial Intelligence technologies are being used to understand potential differences in prostate cancer tissues between racial populations; cancer tissues manifest differently in black and white patients. This research is revealing […]

Consumer wearables are devices used for tracking activity, sleep, and other health-related outcomes (e.g. Apple Watch, Fitbit, Samsung, Basis, Mio, PulseOn, Who Consumer wearables are devices used for tracking activity, […]

Health Monitoring Devices have gained popularity over the past few years, and hold promise in helping people to reach their wellness goals. However, these devices rely on un-representative data-driven algorithms, which leaves ethnic minorities vulnerable to their ineffectiveness.

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 […]

Research article examining racial bias in health algorithms. The research shows that a widely used algorithm, which affects millions of patients, exhibits a significant racial bias. There is evidence that […]

This article examines a tool created by Optum, which was designed to identify high-risk patients with untreated chronic diseases, in order to redistribute medical resources to those who need them […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 wont be effective for everyone.

AI racial bias has extended directly into vital aspects of patient care. With greater rates of misdiagnosis and underdiagnoses of skin cancers in the non-white populations, this is a prime example of AI systems adding to the global burden of health disparities which significantly impact minority groups.

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.