Despite the AI hype, the systems require consistent monitoring and staffing to put in place and maintain. The process can be complicated — and expensive.

As AI becomes widespread, so will automation bias — the human tendency to blindly accept what a machine tells us. Worse: Some physicians don’t know they’re doing it.

To be honest, I was shocked at the outcome of the video, and even more so at the comments, all in agreement or saying things like “I rewrite what the AI says in my own words,” “What if I use Chat GPT to summarize the readings?

The AI company Anthropic is now worth $60 billion. The company’s cofounder and chief scientist, Jared Kaplan, shared how AI agents will develop in the coming year. ( MIT Technology Review)

A newly compiled dataset of nearly one billion images of auroras is helping researchers categorize—and perhaps ultimately anticipate—the Northern Lights.

The rapid spread of artificial intelligence has people wondering: who's most likely to embrace AI in their daily lives? Many assume it's the tech-savvy—those who understand how AI works—who are most eager to adopt it.

Artificial intelligence (AI) models, particularly artificial neural networks and machine learning, outperform traditional methods in predicting post–complete cytoreduction outcomes in patients with ovarian cancer,

The industry's ability to establish effective governance hinges upon the ability to overcome the inherent challenges associated with using AI in healthcare.

Stanford researchers built an algorithm to predict subtypes of Type 2 diabetes that works right from your home.

A Mount Sinai-led team of researchers has enhanced an artificial intelligence (AI)-powered algorithm to analyze video recordings of clinical sleep tests, ultimately improving accurate diagnosis of a common sleep disorder affecting more than 80 million people worldwide.

The obvious answer would appear to be that the algorithm was likely trained on large tranches of Chinese data, and, thus, that data is influencing the algorithm’s output.

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