Exclusive: LSE research finds risk of gender bias in care decisions made based on AI summaries of case notes Artificial intelligence tools used by more than half of England’s councils are downplaying women’s physical and mental health issues and risk creating gender bias in care decisions, research has found. The study found that when using Google’s AI tool “Gemma” to generate and summarise the same case notes, language such as “disabled”, “unable” and “complex” appeared significantly more often in descriptions of men than women. Continue reading...

Semaglutide increased walking distance in patients with symptomatic peripheral artery disease and type 2 diabetes. Research implications include the need for future studies to further elucidate mechan...