Consider the game of Chess. A simple game in looks but has
depths of complications that separate the masters from the experts. One of the
key components of Chess is the ability to think ahead of your opponent. It
sounds easy enough to think two or three turns ahead, but how about ten?
Twenty? A computer makes a good Chess player because of the ability to hold and
remember large amounts of data, enabling a computer to think ahead numerous
amounts of steps.
| What "Robot" Chess might look like. |
That way of thinking has been expanded to artificial
intelligence's in the medical field. Indiana University has created a computer doctor that analyses patient and medical data and attempts to diagnose the
patient. According to their study, the computer had a 30 – 35% higher success
rate than human doctors in finding the correct diagnoses. There is also the
benefit of having a 50% reduction in medical costs. A cheaper and more
successful diagnosis seems very appealing, but why does it work so well?
The computer can create very educated guesses because of it
can retain tons of medical data, much more than a human doctor can ever hope to
remember. The computer also has no bias at all. What I mean is a doctor will
look for signs that point to their specialty, a robot doctor will have no such
bias and therefor look at all kinds of ailments not specific ones. I don’t know
about everyone else, but I would like to be diagnosed by a robot in the future.