AI in health care

Why it’s critical to maneuver beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those...

MIT scientists debut a generative AI model that might create molecules addressing hard-to-treat diseases

Greater than 300 people across academia and industry spilled into an auditorium...

MIT Schwarzman College of Computing and MBZUAI launch international collaboration to shape the long run of AI

The MIT Schwarzman College of Computing and the Mohamed bin Zayed University...

Latest postdoctoral fellowship program to speed up innovation in health care

The MIT Health and Life Sciences Collaborative (MIT HEALS) is launching the...

Q&A: A roadmap for revolutionizing health care through data-driven innovation

MITxQ: How is the sphere of analytics changing the way in which hospitals...

Can deep learning transform heart failure prevention?

The traditional Greek philosopher and polymath Aristotle once concluded that the human...

Study reveals AI chatbots can detect race, but racial bias reduces response empathy

With the quilt of anonymity and the corporate of strangers, the appeal...

AI in health must be regulated, but don’t forget in regards to the algorithms, researchers say

One might argue that considered one of the first duties of a...

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