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

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% ...

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 ...

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.

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.

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

Discover the best AI tools to help you learn any skill quicker in 2026, from personalized learning paths to real conversation ...

Explore how AI assistants in 2025 used persistent memory, proactive guidance, cross-device reach, and DPDP regulation in ...

New research shows that AI chatbots are highly sycophantic and agree with users 50% more than humans, even when users are ...

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 ...