The A-Frame—Awareness, Appreciation, Acceptance, and Accountability—offers a psychologically grounded way to respond to this ...

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.

I discuss what open-source means in the realm of AI and LLMs. There are efforts to devise open-source LLMs for mental health guidance. An AI Insider scoop.

Perplexity offers a minimalist, search-like interface that backs up its statements with citations and references. In ...

Artificial intelligence is sliding into physics classrooms so smoothly that it can feel like a harmless upgrade rather than a ...

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% ...

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.

Here's a sharper definition of what AI SOC platforms can do today and what they cannot, and how to evaluate these platforms ...

An artificial intelligence program created explanations of heart test results that were in most cases accurate, relevant, and easy to understand by patients, a new study finds. The study addressed the ...

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 ...