Google's AI Tool Breast Cancer Diagnostic Tool

Google's AI Tool Breast Cancer Diagnostic Tool

Posted on Jan 3, 2020

Breast cancer is the most common form of cancer in women worldwide, but unfortunately, the diagnosis by a mammogram is often not correct.

But now Google has claimed to offer a solution to the problem that accurately diagnosed the disease.

Google Health Division has researched this in the past few years and introduced accurate diagnostics through the use of artificial intelligence with the help of DeepMind, Cancer Research UK Imperial Center, Northwestern University and Royal Surrey County Hospital. Have done.

The article published in the journal Journal Nature details the successful results of the AI ​​model for breast cancer diagnosis.

Through this AI model, researchers analyzed mammogram scans of more than 28,000 women from across the UK and the United States and diagnosed cancer that radiologists had failed to detect.

Researchers say that with this method they have been able to count the number of cases of misdiagnosis of breast cancer in healthy women.

Google Health-related Dominic King said in a statement that the results indicate that the team has developed a good tool for accurate diagnosis of breast cancer.

He said further tests, medical verification and regulatory approval would be required after which it could be used formally, but we are determined to work with our partners to achieve this goal.

If the research continues to be successful in this regard, then women around the world will benefit from it.

Mammography is the most commonly used method for diagnosing cancer, but radiologists do not detect one in every 5 breast cancers, while 50% of women undergoing screening in the past 10 years have been diagnosed with cancer.

In the early stages, Google's AI tool managed to detect cancer cases that medical experts had neglected, but there were also cases where this tool could not be diagnosed and the radiologist diagnosed them.

Researchers say that this AI tool will be improved so that the cancer case detection rate can be improved while preventing the misdiagnosis process.

Its success will not require double screening from radio logistics while it will be possible to catch cancer in real-time.

Northwestern University's Dr Maiz al-Muramadi said the preliminary results were encouraging, but more trials are needed in order to make its efficacy a part of medical practice.


Mian Tajamul

Blog Author

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