Besides AI hallucinations, there are AI meta-hallucinations. Those are especially bad in a mental health context. Here's the ...

In recent years AI has emerged as a powerful tool for analyzing medical images. Thanks to advances in computing and large ...

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.

Human intelligence evolved under constraint. Beliefs were tied to reasons and conclusions that carried truth claims that ...

Analyzing several major pathology AI models designed to diagnose cancer, the researchers found unequal performance in ...

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% ...

Picture a CFO scanning a cash-flow model where one interest rate cell sits off by a single percentage point. The spreadsheet ...

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.

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 ...

The transparency imperative has accelerated faster than most executives anticipated. With the EU AI Act now in force and comprehensive transparency obligations for high-risk systems scheduled to apply ...

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 ...