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Artificial intelligence beats doctors in breast cancer diagnosis

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AN ARTIFICIAL INTELLIGENCE programme has been developed which can detect breast cancer from mammograms better than experts, a study found. A new study has 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. Researchers said that the AI model was trained and tuned on anonymised mammograms from more than 76,000 women in the UK and more than 15,000 women in the US to see if it could learn to spot signs of breast cancer. It was then tested on a separate data selection of more than 25,000 women in the UK and over 3,000 women in the US.


Artificial Intelligence breakthrough could save lives through screening

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An international team of researchers has found a computer algorithm to be as effective at detecting breast cancer from x-rays as human radiologists. Researchers from Google Health, DeepMind, Imperial College London, the NHS and Northwestern University in the US have designed and trained an artificial intelligence (AI) model on mammography images from almost 29,000 women. The AI displayed a similar degree of accuracy to expert radiologists in identifying cancers from images, according to the findings published yesterday (Jan 1). This new research provides hope that AI could potentially assist clinical staff in future practice, after various projects showed that AI also reduced screening errors, helping to limit the number of incorrectly diagnosed patients. The AI could potentially be introduced around the world, supporting decision-making and reducing pressure on healthcare systems and the workload of clinical reviewers.


Artificial Intelligence breakthrough could save lives through screening

#artificialintelligence

An international team of researchers has found a computer algorithm to be as effective at detecting breast cancer from x-rays as human radiologists. Researchers from Google Health, DeepMind, Imperial College London, the NHS and Northwestern University in the US have designed and trained an artificial intelligence (AI) model on mammography images from almost 29,000 women. The AI displayed a similar degree of accuracy to expert radiologists in identifying cancers from images, according to the findings published yesterday (Jan 1). This new research provides hope that AI could potentially assist clinical staff in future practice, after various projects showed that AI also reduced screening errors, helping to limit the number of incorrectly diagnosed patients. The AI could potentially be introduced around the world, supporting decision-making and reducing pressure on healthcare systems and the workload of clinical reviewers.


Google AI model beats humans in detecting breast cancer

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In a ray of hope for those who have to go for breast cancer screening and even for healthy women who get false alarms during digital mammography, an Artificial Intelligence (AI)-based Google model has left radiologists behind in spotting breast cancer by just scanning the X-ray results. Reading mammograms is a difficult task, even for experts, and can often result in both false positives and false negatives. In turn, these inaccuracies can lead to delays in detection and treatment, unnecessary stress for patients and a higher workload for radiologists who are already in short supply, Google said in a blog post on Wednesday. Google's AI model spotted breast cancer in de-identified screening mammograms (where identifiable information has been removed) with greater accuracy, fewer false positives and fewer false negatives than experts. "This sets the stage for future applications where the model could potentially support radiologists performing breast cancer screenings," said Shravya Shetty, Technical Lead, Google Health.


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.