Google's AI for lung cancer diagnosis proves more accurate than radiologists in early trial

In Google’s case, it trained its machine learning algorithm on more than 45,000 chest CT scans, taken from the National Health Institute and Northwestern University, some of which featured cancer in various stages. The algorithm works by generating a 3D model from the CT scan, using that to detect tiny malignant tissue in the lung nodules that would otherwise be difficult to spot and produce an overall lung cancer malignancy prediction.

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