And the result is that lung cancer is often detected too late, leading to a dismal 17 percent survival rate, according to Xin Zhong, co-founder and CEO of 12 Sigma.
“Almost every single lung cancer started as a small nodule,” said Zhong.
Lung cancer has long been one of the most difficult forms of the disease to diagnose.
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“That nodule can have a variety of looks, and it takes doctors years to know all the different looks.” Better Cancer Diagnosis with Deep Learning Zhong and his team decided to use deep learning to train an AI algorithm that would help doctors analyze CT scan images more efficiently, resulting in quicker and more accurate lung cancer diagnoses. As these and other image-based medical tests have become more common, so has the need for powerful analytical technologies.
“AI is suited for detecting cancers because there has been a vast amount of data being produced,” said Dashan Gao, co-founder and CTO of 12 Sigma.
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