The use of AI applications in medical care is growing. Dr. Leana Wen explains the uses of AI that could improve care — and the reasons for continued caution.

A team of Norwegian researchers, through international collaboration, found that the use of artificial intelligence (AI) ...

Barriers to wider use of AI in oncology include inaccuracy, workflow challenges, environmental impacts, and more.

Lowering operational costs is a key driver for many healthcare organizations, and AI helps reduce expenses by streamlining workflows and minimizing human errors. Faster claim processing leads to a ...

The influence of artificial intelligence (AI) is evident across various industries, and healthcare remains a key beneficiary.

The convergence of AI and drug delivery is opening new frontiers in precision medicine. AI-powered predictive modeling is ...

The case for digitizing healthcare has never been more urgent. Hospitals are under pressure to deliver high-quality patient ...

Examples of uses could include predicting ... the US agency has also just published new guidance on developing and managing AI-enabled medical devices, laying out a total product lifecycle ...

An algorithm that learned from tens of thousands of nutrition prescriptions for premature babies could reduce medical errors and better identify what nutrients the smallest patients need.

For example, a predictive AI algorithm can identify which patients ... such as your age, gender, other medical conditions, laboratory data and racial and ethnic background. The algorithm can ...

A Pittsburgh firm is harnessing artificial intelligence to make it easier for military aircraft to land on ships at sea.