Influence of Skin Type and Wavelength on Light Wave Reflectance
PPG sensors detecting changes in blood flow are assessed for effectiveness on dark and light skin tones. Studies have shown that green light lacks precision and accuracy, and may not read at all when measuring heart rate in darker skin types.
Accuracy in Wrist-Worn, Sensor-Based Measurements of Heart Rate and Energy Expenditure in a Diverse Cohort
This research paper assesses the accuracy of seven commercially available wrist-worn devices, which measure an individual’s heart rate and energy expenditure. The study shows, among other biases, that device error was higher for those with darker skin tones.
Millions of black people affected by racial bias in healthcare algorithms
An algorithm widely used in US hospitals to allocate health care to patients has been systematically discriminating against black people, a sweeping analysis has found. The study concluded that the algorithm was less likely to refer black people than white people who were equally sick to programmes that aim to improve care for patients with […]
The Health Pulse: AI Bias in Healthcare
Data scientist Hiwot Tesfaye joins Greg for a conversation about the use of algorithms in healthcare and how models can introduce bias. They’ll discuss current examples of health care bias, who should be held responsible and how we can do better as an industry in the future. With a particular focus on the allocation of […]
Bias and Discrimination in Healthcare AI Models
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 the allocation or denial of care.
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.
Use of AI-based tools for healthcare purposes: a survey study from consumers’ perspectives
This paper examines AI-based tools for healthcare from a consumer’s perspective. AI will be integral to our healthcare systems and will be integrated across several aspects of clinical care, with particular focus on care planning, this paper examines patients’ perspectives on the integration of AI into the healthcare system.
Understanding Racial Bias in Medical AI Training Data
AI-powered systems are being designed to support medical activities ranging from patient diagnosis and triaging to drug pricing. But when AI systems are trained on misrepresentative data sets they stand to develop discriminatory biases. Three case studies are explored that demonstrate the potential for racial bias in medical AI, including how AI may be used […]
Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19
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. However, the rapid dissemination of underdeveloped, and potentially biased models could exacerbate the disparities gap by making race affect […]
AI Bias May Worsen COVID-19 Health Disparities for People of Colour
This article draws on recent medical research which shows how potentially biased models informing our health care systems have impacted COVID-19. These biased models could exacerbate the impact the COVID-19 pandemic is having on people of colour. AI is not intrinsically objective, and any biases inherent in these technologies could reinforce racial structural injustices within […]
