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Supercomputer Recognizes Cancer More Effectively Than Experts Supercomputer Recognizes Cancer More Effectively Than Experts

Supercomputer Recognizes Cancer More Effectively Than Experts

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Of all the applications for artificial intelligence, the medical field is considered to be one of the best. In the coming years, patients will likely find software playing a large part in health tracking, diagnosis, and treatment, supporting the professionals tasked with providing care.

But could that technology someday improve upon the care that physicians can offer? According to a recent study at the University of North Carolina’s Lineberger Comprehensive Cancer Center, artificial intelligence can actually suggest a wider range of treatment options than medical experts.

The team provided data on 1,018 cancer patients to IBM’s Watson in order to get a suggested treatment for each. Watson’s results were then compared to the treatments suggested by a board of cancer experts, to surprising results.

The machine was able to confirm 703 cases of genetic alterations in which action was needed, while also identifying therapy options for 323 patients. The human panel had not recognized genetic mutations in 96 of those patients. In all, there were eight genes that the board had not identified as actionable, but Watson not only caught them, but identified appropriate clinical trials for the patients. This study demonstrates the value technology can bring to any medical setting.

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Read 2717 times Last modified on Wednesday, 20 December 2017 03:18
Stephanie Faris

Stephanie is a freelance writer and novelist whose work has appeared on NYPost.com, PSMag.com, the Intuit Small Business Blog, and many others. She is the Simon & Schuster author of 8 children's books, including the Piper Morgan chapter book series, 25 Roses, and 30 Days of No Gossip.

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