The widespread deployment of AI in U.S. healthcare will succeed only with the establishment of a national infrastructure for open health data.

The government announces leads for independent reviews into ethnic inequalities for medical devices and tobacco control.

The NHS AI Lab and @HealthFdn have awarded £1.4 million to 4 projects to address racial and ethnic health inequalities using artificial Announcement here https://www.nhsx.nhs.uk/news/new-artificial-intelligence-projects-funded-to-tackle-health-inequalities/

Analysis: issues with some gadgets could contribute to poorer outcomes for women and people of colour

A sweeping AI has become central to how the US handles the opioid crisis. It may only be making the crisis worse. With the creeping privatisation of our National Health Services, could the U.K. see similar opaque algorithms creating barriers here?

What are data and technology? How do they impact Black lives in our health systems?

Mobile applications aided by artificial intelligence may help migrants better address their physical and mental health.

We’re used to medical chatbots giving dangerous advice, but one based on OpenAI’s GPT-3 took it much further. Researchers experimenting with GPT-3, the AI text-generation model, found that it is not ready to replace human respondents in the chatbox. Medical chatbot using OpenAI’s GPT-3 told a fake patient to kill themselves.

How many times have you seen an all-female and black and ethnic minority (BME) panel talking about technology? For many people their first time would have been the Shuri Network launch last July. The Shuri Network was launched in 2019 to support women of colour in NHS digital health develop the skills and confidence to progress into senior leadership positions and help NHS leadership teams more closely represent the diversity of their workforce.

Racism is a systemic issue that pervades every aspect of life in the United States and around the world. In recent months, its corrosive…

Machine learning programs trained with patients’ own reports find problems that doctors miss—especially in Black people. Full study here: https://go.nature.com/3pnOwWP

'Machine learning is revolutionising healthcare provision and delivery, from mobilising previously inaccessible data sources to generating increasingly powerful algorithmic constructs for prognostic modelling. However, it is becoming increasingly obvious that if we do not learn from the mistakes of our past, that we are doomed to repeat them; if it isn’t already too late'

"By embedding race into the basic data and decisions of health care, these algorithms propagate race-based medicine. Many of these race-adjusted algorithms guide decisions in ways that may direct more attention or resources to white patients than to members of racial and ethnic minorities"

Mental health symptoms affect your behaviour online. This could be harnessed to improve detection and treatment

Study reveals rampant racism in decision-making software used by US hospitals — and highlights ways to correct it.

Machine learning has the potential to save thousands of people from skin cancer each year—while putting others at greater risk.