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Google and Northwestern Medicine test AI to detect lung cancer

May 22, 2019

Findings showed that a deep learning system was able to analyse low-dose chest computed tomography (LDCT) scans and detect malignant lung nodules with a capability that was on par with or better than radiologists.

The AI system is designed to offer an automated image evaluation system in order to improve the accuracy of early lung cancer diagnosis. It views the lungs in a single three-dimensional image.

When compared to radiologists, the system was observed to generate fewer false positives and fewer false negatives. In a clinical setting, the technology is expected to reduce the number of unnecessary follow-ups and missed tumours.