Bias in AI isn’t just baked into the training data; it’s shaped by us and embedded in the broader ecosystem of human-AI ...

AI makers are tuning their LLMs to trigger on the slightest mental health aspect. Here is a templated prompt that achieves a ...

A strong perception layer unifies data from hundreds of sources and normalizes it into a shared schema. This is one reason ...

Researchers showed that an AI tool can scan clinical notes to flag patients at risk of clinical decline so doctors follow up.

An autonomous AI-based system may be feasible for determining patients who require early intervention to address cognitive concerns related to Alzheimer’s disease, according to data published in NPJ ...

Microsoft CEO says everyone needs to use AI, branding it as "a cognitive amplifier with access to infinite minds".

We also risk getting things very, very wrong. Generative AI works by predicting likely words from patterns trained on vast ...

The study analysed more than 3,300 clinical notes produced during regular healthcare visits, from 200 anonymised patients, ...

A team of Mass General Brigham researchers has developed one of the first fully autonomous artificial intelligence (AI) ...

A study using agentic artificial intelligence to detect early signs of cognitive decline in unstructured m | Mass General ...

In the United States, 11% of adults over age 45 self-report some cognitive decline, which may impact their ability to care ...

Cognition holds because difficulty demands patience. What happens when AI no longer requires us to sustain engagement and delay resolution?