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Cancer Cell
Determining The Type Of Cancer Of A Patient Is Somewhat Complicated In Some Cases And A Reason Why Pathologists. Oncologists Don't Forever Agree, Golf Stroke The Patient’s Health In Danger If Miscalculation Is Formed. As Luck Would Have It, Google Could Resolve These Problems Within The Future. Give A Diagnosis With 89% Of Reliability, Which Contrasts With 73% Of A Doctor, A Figure That Falls To 48% When It Comes To A Diagnosis Among Several Experts According To The Documents That The Company Handles.

Artificial Intelligence Has Very Advanced Image Recognition Software. The Same That Google Has Used For Its Autonomous Cars, Only In This Case It Is Used To Examine. The High-Resolution Images Of Cells Taken From Patients To Check If They Are Affected By Cancer. It Is A Process That Pathologists And Oncologists Also Carry Out When Making A Diagnosis, Although They Cannot Count On A Database Of Billions Of Images To Take As A Reference To Determine Which Variant Of The Disease Is Affecting The Patient.

The Machine Then Learns To Diagnose By Comparison They Are Given A Multitude Of Referents Which They Can Understand Learn. Then Be Ready To Dump Their Data Once Receiving A Replacement Image Of A Doable Case Of Cancer. Of Course, This System Cannot Replace Experts In The Disease However Exact It May Be As There Is Still A Large Percentage Of False Positives.

Moreover The Strangest Variants Of The Illness Don't Seem To Be Detected One Thing That Associate Professional In She Will Be Able To See With The Eye.  It's Aim Then Is To Serve As An Initial Analysis So That Once Given The Opinion Of The Machine The Expert Can Save Time By Checking What He Says Or Examining Points For Analysis To Corroborate Or Contradict The Diagnosis.

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