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Artificial Intelligence better than expert radiologists at spotting breast cancer, study says

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An artificial intelligence programme has been developed that outperforms clinical experts in detecting breast cancer in mammograms, according to researchers. The study found that an AI system developed by Google Health can identify cancer in breast screening mammograms with fewer false positives and fewer false negatives than radiologists. The programme was developed in collaboration with DeepMind, Cancer Research UK Imperial Centre, Northwestern University and Royal Surrey County Hospital. The team trained the system to identify breast cancers on more than 76,000 women in the UK and over 15,000 women in the US. They then compared the system's performance with the actual results from a set of more than 25,000 women in the UK and over 3,000 women in the US.


AI 'outperforms' doctors diagnosing breast cancer

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Artificial intelligence is more accurate than doctors in diagnosing breast cancer from mammograms, a study in the journal Nature suggests. An international team, including researchers from Google Health and Imperial College London, designed and trained a computer model on X-ray images from nearly 29,000 women. The algorithm outperformed six radiologists in reading mammograms. AI was still as good as two doctors working together. Unlike humans, AI is tireless.


AI 'outperforms' doctors diagnosing breast cancer

#artificialintelligence

Artificial intelligence is more accurate than doctors in diagnosing breast cancer from mammograms, a study in the journal Nature suggests. An international team, including researchers from Google Health and Imperial College London, designed and trained a computer model on X-ray images from nearly 29,000 women. The algorithm outperformed six radiologists in reading mammograms. AI was still as good as two doctors working together. Unlike humans, AI is tireless.


DeepMind's new AI can spot breast cancer just as well as your doctor

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One in eight women will be diagnosed with breast cancer throughout their lives. In an effort to help with quicker detection, researchers have trained a deep-learning algorithm to spot breast cancer in screening scans as accurately or better than a radiologist. While still at an early stage, the research could eventually help reduce incorrect results in the US and help alleviate the shortage of radiologists in the UK. As early detection is key to treatment, women over the age of 50 are tested in the US and UK even if they don't show signs of the disease. False negatives, when cancer is present but not spotted, can prove deadly, while false positives can be distressing.


Google trained its AI to predict lung cancer

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Of all cancers worldwide, lung cancer is the deadliest. It takes more than 1.7 million lives per year -- more than breast, prostate and colorectal cancer combined. Part of the problem is that the majority of cancers aren't caught until later stages, when interventions tend to be less successful. Google is determined to change that, and with its new AI-based tool, it hopes to make lung cancer prediction more accurate and more accessible. To screen for lung cancer, radiologists typically view hundreds of images from a single CT scan.