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Technology Scientists built an AI that can spot breast cancer better than a doctor

01:55  03 january  2020
01:55  03 january  2020 Source:   bgr.com

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Scientists have been training artificial intelligence algorithms to spot cancer in tissue scans for years now. Slowly but surely, researchers develop new, better At first, the “holy grail” was an AI capable of detecting cancer as well as a human doctor . Now, scientists are striving for something even greater.

An artificial intelligence program has been developed that is better at spotting breast cancer in The AI outperformed the specialists by detecting cancers that the radiologists missed in the images The scientists trained the program on mammograms from more than 76,000 women in the UK and 15

Artificial intelligence is already invading many aspects of our daily lives, but while “smart” virtual assistants like Apple’s Siri and Amazon’s Alexa can be helpful, more powerful AI might actually save your life. In a new study published in the journal Natureexplains, cancer-detecting algorithms are becoming so adept at spotting problems that they are now more accurate than human doctors.

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The work, which was carried out by a team of researchers including scientists from Google, focused on the ability of an AI system to positively identify instances of breast cancer across a group of over 28,000 patients. Put simply, the AI knocked it out of the park.

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An AI system trained to spot abnormalities in mammograms can predict who will or won’t develop breast cancer better than radiologists. An artificial intelligence system is better at predicting breast cancer than radiologists 61 weird and wonderful ways to measure a building with a smartphone.

Researchers at Google (GOOGL), working alongside experts at Northwestern University and three British medical institutions, have created an AI model that appears capable of more accurately spotting breast cancer in mammograms than human experts, according to a new study.

Scientists have been training artificial intelligence algorithms to spot cancer in tissue scans for years now. Slowly but surely, researchers develop new, better algorithms that are more accurate and reduce the number of false positives and false negatives. At first, the “holy grail” was an AI capable of detecting cancer as well as a human doctor. Now, scientists are striving for something even greater.

As the paper explains, the AI is “capable of surpassing human experts in breast cancer prediction.” That means the computer is more accurate in spotting cancer, producing fewer false positives and false negatives in a head-to-head trial against six trained radiologists.

Google Health's AI can spot breast cancer missed by human eyes

  Google Health's AI can spot breast cancer missed by human eyes One in eight women will get breast cancer at some point. More accurate diagnostic tools are sorely needed.Unfortunately the current primary method of detection via mammogram -- a scan of the breast that's then examined by a radiologist -- can result in a false diagnosis of cancer for many women. For others, it misses the cancer altogether.

Cancer researchers are constantly advancing the technology that doctors use to screen for, detect, and treat all kinds of cancers , and the survivability prospects have Now, AI is giving scientists another tool in the fight against the disease, and one of the biggest names in the AI game is Google.

(Bloomberg) -- Artificial intelligence can spot breast cancer more accurately than doctors , according to a study by Google Health.The technology’s reading of mammograms The plan with GM was to use Nikola’s hot stock and Milton’s ability to raise money to build a hydrogen-fueled trucking business with

The team also tested the AI in a double-reading scenario. Double-reading is a process by which potential cancer scans are studied by not just one, but two doctors. This is done to improve the overall accuracy of the diagnosis. The researchers found that the AI was just as reliable in this scenario, with just 12% of the scans requiring a second look from a human doctor.

There’s still some work to be done before such a system could be implemented in a real-world scenario. Doctors aren’t ready to hand over the reins just yet, but it might not be long before computer algorithms are spotting cancers and saving lives in hospitals around the world.

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