"The promise of AI in medicine will only be realized if it is built and used responsibly," write Murali Doraiswamy and Marc ...

A research team from Ruhr-Universität Bochum (RUB) has developed a new artificial intelligence (AI) algorithm that significantly enhances the analysis capabilities of biological data by incorporating ...

“AI can analyze, calculate, and optimize, but it cannot empathize, inspire, or lead with vision,” Jahn explains. “The leaders ...

This work, for example, is a collaboration between materials and mechanical engineering researchers that helped advance the field of materials design using artificial intelligence,” said Wei Chen, ...

AI has been revolutionizing industries, and agentic AI is proving to be a particularly significant development that can level ...

Preparing cancer patients for difficult decisions is an oncologist's job. They don't always remember to do it, however. At the University of Pennsylvania Health System, doctors are nudged to talk ...

To gain competitive advantage, authenticity is as important as AI. As I type, Microsoft Copilot suggests ways to continue, restructure, or even rewrite this very sentence. On the surface, it feels ...

The biggest opportunities don’t come from people searching for your name. They come when someone’s searching for a solution—and the algorithm decides to introduce you.

Remember when finding information online meant typing exact keywords and hoping for the best? When search engines couldn’t tell the difference between “apple” the fruit and “Apple” the tech giant? How ...

Sometimes the reasons algorithms fail are fairly logical. For example, changes to underlying data can erode their effectiveness, like when hospitals switch lab providers.

It might not happen today, tomorrow or next week, but artificial intelligence (AI) will soon become an integral operational ...

After watching a pulse oximeter struggle with his father’s dark skin, @AmBeRnIgAm began a personal quest to confront racial bias in medical generative AI.