The future of technology involves revolutionizing the medical sector. Progress in one area influences another and, almost always, involves a differentiating jump that results in a life being saved.
Google has licensed its AI breast cancer detection model to medical technology companies, paving the way for the systems the researchers developed to be tested in real-world clinical settings for the first time.
It businesscalled iCAD, will begin integrating Google’s computer vision system, which is designed to detect breast cancer in mammograms, to create a product that should make it to hospitals in a few years. We talked about this two years ago.
As reported, iCAD will use the services of google cloud develop a secure data storage infrastructure. A spokesperson for the company acknowledged that they have secured Google’s technology for the next five years.
Google has spent years building AI models for help doctors diagnose breast cancer more accurately than mammograms. In 2020, the team from published an article about Natural in which he claims that AI can outperform professional radiologists in detecting breast cancer tissue.
How AI that detects cancer works
This system had lower rates of false positives and false negatives, compared to six radiologists. It was promoted as a way to reduce unnecessary patient follow-up, allowing clinicians to prioritize women most at risk of developing the disease.
Google Health claims that the model has been trained on the data set mammograms of more than 76,000 women in the UK and more than 15,000 in the US. As you can see, Google is more than chrome one of Androids (The health sector is one of its most valuable branches).
in experiment, this model reduced false positives by 5.7% in the United States and 1.2% in the UKand 9.4% false negatives in the United States and 2.7% in the UK.
Doctors and researchers previously criticized Google for not sharing the code for the model, to allow others to replicate and validate the results, months after the article was published. Now, the code is going to the hospital trying to save lives.
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