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The Cutting-Edge Of AI Cancer Detection

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The Cutting-Edge Of AI Cancer Detection

May 4, 2019

The Cutting-Edge Of AI Cancer Detection

Detecting cancer might be AI’s most altruistic and convoluted challenge yet. Standard screening methods such as radiological imaging can miss signs of cancer, or return a false negative (as it does in 20-30% of cases). The process of scanning images is particularly in need of improvement, as doctors must often visually search for signs of cancer which can leave only the largest, most advanced tumors to be detected. Hereditary testing is another detection method that determines genetic predisposition to cancer, but this does not provide much detail and cannot reveal if a person has cancer now.

AI can not only greatly improve the accuracy of image detection for cancer, but could also open up entirely new fields between genomics and cancer screening. AI faces its own unique challenges in this field - such as the lack of enough data to train neural networks - but companies on the cutting-edge of cancer detection are finding novel ways to get around the problems, and achieving impressive results.

The full Forbes article can be viewed at this link.  

 

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