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

20:15  01 january  2020
20:15  01 january  2020 Source:   cnet.com

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For others, it misses the cancer altogether. Google ' s Health division has spent the past few years trying to solve, via artificial intelligence, the problem of In the paper, researchers detail the successful results of an AI model able to identify breast cancer in mammograms missed by radiologists when

Google Health ’ s AI , which was trained on anonymized mammograms, was tested against scans of over 25,000 women from the UK and over 3,000 In early testing, Google ’ s AI caught cancers missed by radiologists, but there were also some cases in which it missed cancer that was caught

A diagnosis of breast cancer is news no one wants to hear, but if it does come, you want it to be accurate.

Breast cancer is often misdiagnosed. Lester Lefkowitz/Getty© Provided by CNET Breast cancer is often misdiagnosed. Lester Lefkowitz/Getty

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.

Google's Health division has spent the past few years trying to solve, via artificial intelligence, the problem of inaccurate diagnoses. On Wednesday, the company together with its subsidiary Deepmind, Cancer Research UK Imperial Centre, Northwestern University and Royal Surrey County Hospital published a paper in the journal Nature outlining the success of its research so far.

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Google -owned DeepMind has already worked with NHS organisations to develop AI to read eye The research says the AI model could predict breast cancer with the same level of accuracy as a single " AI programmes will not solve the human staffing crisis – as radiologists and imaging teams do far

Program developed by Google Health was tested on mammograms of UK and US women.

In the paper, researchers detail the successful results of an AI model able to identify breast cancer in mammograms missed by radiologists when tested against scans of over 25,000 women from the UK and over 3,000 women from the US. The AI, which was trained on anonymized mammograms, was also able to reduce the number of false diagnoses of breast cancer in healthy women.

Dominic King, UK lead at Google Health, said in a statement that the results indicated his team is well on its way to developing a tool that can detect breast cancer with greater accuracy. "Further testing, clinical validation and regulatory approvals are required before this could start making a difference for patients, but we're committed to working with our partners towards this goal," he said.

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The news: DeepMind and Google Health have developed a new AI system to help doctors detect breast cancer early. Related work: Last October, NYU researchers published a similar study, demonstrating an AI system for breast cancer screenings on par with human radiologists.

While Google ’ s AI managed to beat human experts in many cases, there were times when experts caught the presence of cancer signs in the cases that the So, it means the AI can ’t replace humans in this field right now. However, the goal is that the technology should complement radiologists during

Breast cancer is often misdiagnosed. © Lester Lefkowitz/Getty

Breast cancer is often misdiagnosed.

If the research continues to show success, the impact on women around the world could be profound. Breast cancer is the most common type of cancer occurring in women globally, and will develop in around one in eight women in the UK and US at some point, according to the NHS and American Cancer Society.

Mammography is the most common tool used to diagnose cancer, but radiologists miss one in five breast cancers. On the flip side, 50% of women who attend screenings over the course of 10 years in the US will receive a false diagnosis.

In early testing, Google's AI caught cancers missed by radiologists, but there were also some cases in which it missed cancer that was caught by radiologists, showing it to be fallible in some instances.

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Breast cancer is the main source of cancer -related deaths among women, and Utilizing data from in excess of 90,000 mammograms, the model identified malignant growth the human eye was unable to Cancerous breast tissue has two key properties: heterogeneity, meaning a few regions are

Google has delivered further evidence that AI could become a valuable ally in detecting cancer . The company' s researchers have developed a deep learning tool that can spot It not only reduced the rate of missed micro-metastases by a "factor of two," it cut the inspection time in half to a single minute.

The researchers suggest that in the future the AI could work in tandem with medical professionals to prevent breast cancer from being missed and to avoid healthy women being subject to invasive biopsies and the stress of believing they may have cancer.

This could eliminate the need for double screening by radiologists, and also provide an initial real-time indication of whether cancer is present during a scan.

"While this is exciting, early-stage research, validation in future trials is needed to better understand how models like these can be effectively integrated into clinical practice," said Northwestern study co-author Dr. Mozziyar Etemadi in a statement.

"In some examples, the human outperforms the AI and in others, it's the opposite. But the ultimate goal will be to find the best way to combine the two -- the magic of the human brain isn't going anywhere any time soon."

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