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 ...

In recent years AI has emerged as a powerful tool for analyzing medical images. Thanks to advances in computing and large medical datasets from which AI can learn, it has proven to be a valuable aid ...

For millions of gig workers driving for companies such as Uber Eats, DoorDash and Deliveroo, there is no human manager to ...

How should students use AI in the classroom? This question keeps coming up in every conversation about AI in education. And most of the answers fall into two unhelpful camps: ban it completely or let ...

Leading expert JM García-Maceiras launches a guide for global financial institutions to bridge the gap between ...

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.

In boardrooms across Silicon Valley and Wall Street, executives are grappling with an uncomfortable truth: the AI systems powering their most critical decisions are fundamentally unauditable. While ...

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% ...

From enhanced Search features to AI-powered explanations, the company is rolling out a broad suite of tools aimed at both ...

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 ...