The AI model effectively spotted all subtypes of amyloidosis in the dataset, with an area under the receiver-operating characteristic curve (AUROC) of 0.93, a sensitivity of 85% for identifying ...

The Trump administration is pushing the Pentagon, IRS and other federal agencies to rapidly adopt AI tools to improve ...

When used responsibly, it doesn’t erase the human touch; it reflects it, magnifies it and invites new perspectives. To reject ...

As Nigerian banks deepen their investments in artificial intelligence (AI) to improve customer service and operational ...

Today’s large language models are hardly related to the kinds of machine intelligence we see in science fiction, according to ...

Researchers from The University of Western Australia, working with medtech industry partners Artrya, have developed a new, ...

Drug discovery has long been criticized for its slow, costly, and failure-prone nature. Traditional approaches, particularly ...

Daniel Nadler started OpenEvidence to help physicians sort through a deluge of medical research. Now, he’s raised $210 ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

AgentCore-powered agents and other AI applications can keep their data in Amazon S3 Vectors, a new storage offering that also ...

Cells and tissues surrounding a breast cancer tumor may hold critical information about how patients will respond to treatment. After looking for patterns in images of tissue and biopsy samples, a ...

Artificial intelligence offers great promise, but technical limitations and ethical concerns stand in the way of its ...