Alphabet’s artificial-intelligence subsidiary DeepMind is partnering with the US Department of Veterans Affairs to try to predict when a patient is about to take a turn for the worse, even before any outward signs of getting sick.
Life or death: Roughly 11 percent of all in-hospital deaths occur because someone misses or fails to act properly on warnings signs that a patient’s condition is declining.
How it will work: The project will analyze patterns from 700,000 anonymized medical records to see if machine learning can identify which patients will get worse during a hospital stay and correctly predict the decline.
Practical applications: The VA and DeepMind say one possible use for the technology is spotting kidney failure or damage early on. Kidney injuries commonly occur after routine procedures and operations, like a hip replacement, and often come on suddenly with no obvious warning signs. These injuries can be life-threatening, so DeepMind wants to find ways to detect them earlier in hopes of saving patients.
DeepMind’s cofounder: Generative AI is just a phase. What’s next is interactive AI.
“This is a profound moment in the history of technology,” says Mustafa Suleyman.
AI hype is built on high test scores. Those tests are flawed.
With hopes and fears about the technology running wild, it's time to agree on what it can and can't do.
You need to talk to your kid about AI. Here are 6 things you should say.
As children start back at school this week, it’s not just ChatGPT you need to be thinking about.
AI language models are rife with different political biases
New research explains you’ll get more right- or left-wing answers, depending on which AI model you ask.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.