How to Detect Breast Cancer Four Years Before it Developed

While some developments of AI can sound pretty scary there are times when advancements in technology can do a great deal of good. Certain forms of technology are being used to help diagnose conditions that impair a person’s mobility and there have been advances in the way we’re using Artificial Intelligence (AI) too.  AI is being used in cancer screening technology to pick up potential issues long before they develop into something harmful.

This technology is currently being used to great success in Hungary, while the US, UK and the rest of Europe are also looking at testing it for themselves. While there are still many hurdles to get through, this technology could be a valuable tool for radiologists and ultimately be a lifesaver. Speaking to CNN, Dr Larry Norton of the Lauder Breast Center explained that while the technology has been around for decades AI is becoming a useful tool in refining the process and helping identify potential health issues.

An AI program was successfully able to detect breast cancer in a woman four years before it developed

“AI is a tool that machines use for looking at images and comparing those images to ones that have already been recorded in the machine to identify abnormalities,” said  Dr Norton. “This technology can look at mammograms and identify areas that a human radiologist may want to look at more carefully. “It’s called computer assisted detection, it’s actually been around since the late 1990s but the technology is improving.”

There’s lots of abnormalities that you see, they’re changes that are not really cancer. You can’t call everything cancer because anyone going for a mammogram is gonna need a biopsy. That’s not very practical. “What this work does is it identifies risk. It can tell a woman ‘you’re at high risk of developing breast cancer’ before you develop breast cancer,” explains the researcher.

However, he stressed that while AI had made some impressive advancements, this technology was in place to help human decision-makers rather than outright replace medical professionals.

One thing humans can do that machines can’t do is order special tests. Things like contrast enhanced mammograms and MRIs,” Dr Norton said. “The other thing humans can do is look at previous mammograms and see if there’s any changes.” “We’ve got to think of AI as a tool for helping radiologists look at the images better. It’s not a standalone test, it’s not gonna replace a radiologist.”

According to the New York Times, the use of this AI technology in breast cancer screening has reduced the workload of a radiologist by around 30 percent while increasing cancer detection rates by 13 percent which sounds like entirely positive news. They also report that the AI was tested with some of the most challenging cancer cases where the early signs of breast cancer had not been spotted by radiologists, with the AI successfully managing to identify the cancer.

There have been previous instances of AI being used to detect lung cancer and the technology was highly successful.


New Brain Implant Thinner Than Hair

A new technological development could give people the ability to access their devices with only their mindsPrecision Neuroscience is introducing its breakthrough in medical science as a benefit for those who have experienced paralysis or other forms of limited mobility.

Precision CEO and co-founder Michael Mager shared in an interview how brain-computer interface (BCI) technology converts thoughts into action. “It’s a direct communication pathway between the brain’s electrical activity and an external device, most often a computer, but it also can be like a prosthetic,” he said. BCIs have been proven to be functional for more than 15 years, but to date have only been implanted in about 40 people — which New York City-based Mager said he considered a “real shame.”

Our fundamental goal is to change that,” he said. “To take this technology that has been proven to work and roll it out to the hundreds of thousands and eventually millions of people who could benefit enormously from it.” These developments reportedly have been a lifelong venture for Precision‘s chief science officer Ben Rapoport, who has two decades of experience developing BCIs, including during his work as a founding member at Neuralink.