Artificial intelligence is infiltrating medicine at many levels, from providing patients with medical advice and summarising patients’ notes to aiding diagnoses. Elisabeth Mahase looks at how the rese...

Nature Medicine - CANAIRI: the Collaboration for Translational Artificial Intelligence Trials in healthcare

Without careful dissection of the ways in which biases can be encoded into artificial intelligence (AI) health technologies, there is a risk of perpetuating existing health inequalities at scale. One major source of bias is the data that underpins such technologies. The STANDING Together recommendations aim to encourage transparency regarding limitations of health datasets and proactive evaluation of their effect across population groups. Draft recommendation items were informed by a systematic review and stakeholder survey.

Without careful dissection of the ways in which biases can be encoded into artificial intelligence (AI) health technologies, there is a risk of perpetuating existing health inequalities at scale. One major source of bias is the data that underpins such technologies. The STANDING Together recommendations aim to encourage transparency regarding limitations of health datasets and proactive evaluation of their effect across population groups. Draft recommendation items were informed by a systematic review and stakeholder survey.

Technology secretary admits government departments are not being transparent over way they use AI and algorithms

AI is not a “stochastic parrot,” It’s a mirror, says the philosopher.

There are many radiological datasets for breast cancer, some which have supported the development of AI medical devices for breast cancer screening and image classification. This review aims to identi...

There is an urgent need for leaders of AI implementation across the healthcare workforce of the UK and worldwide. The MSc AI Implementation (Healthcare) programme is designed to address this need.

Data-driven systems and inequalities in health and social care

During the COVID-19 pandemic, artificial intelligence (AI) models were created to address health-care resource constraints. Previous research shows that health-care datasets often have limitations, le...

Podcast Episode · Healthtech Pigeon · 10/11/2024 · 1h 58m

Podcast Episode · Healthtech Pigeon · 10/11/2024 · 1h 58m

AI in healthcare - next steps for development, regulation and adoption

A systematic review, combined with a stakeholder survey, presents an overview of current practices and recommendations for dataset curation in health, with specific focuses on data diversity and artif...

The World Health Organization (WHO) has released a new publication listing key regulatory considerations on artificial intelligence (AI) for health.