Because of the ease that coronavirus spreads from person to person, testing has been identified as one of the best ways to control the disease. But testing has cost and resource limitations. Applying AI and robot technology could help overcome these problems, while reducing medical practitioners’ exposure to the virus.
The technology has proved successful in medical trials, including identifying cancer in breast scans.
A research paper from Google Health, published in Nature magazine, has reported that machine learning, based on Google’s TensorFlow algorithm, can be used to reduce false positives in breast cancer scans. A false positive is when a mammogram scan is incorrectly identified as cancerous, and a false negative is when it is wrongly diagnosed as not being cancerous.
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