Many health symptoms can be caused by multiple illnesses – if AI can’t tell the difference between them, it won’t be able to operate accurately without human oversight.

A senior Texas A&M University System official testing a new artificial intelligence tool this fall asked it to find how many courses discuss feminism at one of its regional universities.

But common sense and the precautionary principle suggest that it is too early for AI to prescribe drugs without human oversight. And the fact that mistakes may be baked into the technology could mean ...

Age checks no longer stop at store counters or ticket booths. They now shape access to social media, online games, streaming ...

This report provides an update on the technical feasibility of using administrative (admin) data, supported by surveys, to measure New Zealand's ...

New findings highlight the need to systematically check for bias in pathology AI to ensure equitable care for patients.

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

The CMS Innovation Center has debuted a new model to encourage the use of technology to treat chronic diseases, which could be a boon for health tech companies that have struggled with reimbursement.

No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent?

Globally, around 11% to 13% of women live with polycystic ovary syndrome (PCOS), a hormonal disorder that affects the ...