Radiologists who use an artificial intelligence to diagnose breast cancer are more successful than those who don't. When operating alone, that same artificial intelligence produces less accurate results in the hands of a radiologist. The large-scale study, published this month in The Lancet Digital Health, is the first to directly compare an artificial intelligence's performance in breast cancer diagnosis The process meant that close to three-quarters of screening studies didn't need to be reviewed by a doctor.

The next step is to confirm how well the artificial intelligence performs in actual clinics with actual patients. The hope is that in the future, such systems could save lives by detecting cancer doctors miss, freeing up radiologists to see more patients, and easing the burden in places where there is a dire lack of specialists. The full story is available to read.

Hana Kiros is a person.

What is possible will be changed by materials with small parts.

Materials scientists have been fascinated by the patterns found in nature that repeat all the way down to the molecule level, imbuing material with remarkable strength and color. In the future, we may be able to engineer such properties directly into manufactured materials, and even program some degree of intelligence into them, which could make new features and functions possible.

The ultimate goal of those on the MIT Technology Review list is to create materials and devices that allow them to make their own decisions. Julia R. Greer is a materials scientist at the California Institute of Technology. You can see the full list here.

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I scoured the internet to find you the most interesting and fun stories about technology. There is next to no public health measures in place as a result of a new wave of covid. There are a lot of lawsuits.