In a research study published this month in JAMA, computer scientists and clinicians from University of Michigan examined the use of artificial intelligence to help diagnose hospitalized patients.

Researchers developed a system that converts AI explanations into narrative text that can be more easily understood by users. This system could help people determine when to trust a model's ...

Today, the question isn't whether to adopt autonomous intelligence but how quickly organizations can transform to harness its ...

AI models in health care are a double-edged sword, with models improving diagnostic decisions for some demographics, but worsening decisions for others when the model has absorbed biased medical data.

Clinicians who were asked to differentiate between pneumonia, heart failure, or chronic obstructive pulmonary disease (COPD) had a baseline accuracy of 73% (95% CI 68.3-77.8), which rose to about 76% ...

When making diagnostic decisions, radiologists and other physicians may rely too much on artificial intelligence (AI) when it points out a specific area of interest in an X-ray, according to a study ...

Researchers did more than ask chatbots to play games. They tested whether AI models could describe their thinking. The ...

The answer: both suffer from a “truthiness” problem. Truthiness is a term coined by Stephen Colbert to describe the tactic of weaving facts into a false narrative. Conspiracy theories like QAnon rely ...

Google appears to have blocked AI search results for the query “does trump show signs of dementia” as well as other questions ...

A new study finds that clinicians were fooled by biased AI models, even with provided explanations for how the model generated its diagnosis. AI models in health care are a double-edged sword, with ...