AI in the Medical Field
AI in the Medical Field
Imagine you had a leading surgeon, you would want them to teach
as many up and coming surgeons as is possible. AI makes this possible as the
top surgeon's skills can be programmed into an AI programme that can be used
for training purposes. How about exercising these skills learnt? Again AI
combined with Virtual Reality will enable a training student to practice
operating in real time, with AI feeding back suggestions as well as operating
scenarios good and bad
However AI is also helping out on the more mundane areas of the
health service. From simple situations like managing meetings to much more
complex support environments such as research information, AI is supporting,
improving and assisting the medical field.
So how does AI improve such, what could be on the face of it,
reasonably simple solutions? To start we need to investigate the power of AI.
At its simplest terms AI is defined as software that thinks and
makes decisions in a similar manner to the human brain. When you consider that
the mind does not even understand how it works, that could on the facial skin
of it be a brave definition. When you also consider that AI has been around and
in use for at least 20 years but it is only in the last few years it has begun
to be very useful, it becomes a challenging definition. Despite what many
research fiction books and movies state, AI is not established to take over the
world, but rather become a helping environment.
So we get to the definition that AI can work in the same way as
the human brain, react to situations and produce life like scenarios and
replies. Also if you think of famous brands Siri and Alexa, it can produce
practical answers to a large number of questions that are answered in various
manners. However anyone who has despaired of getting Siri to answer the
question you have actually asked, there are still limitations.
medical field jobs
So what is in the future for medical uses of AI? Well to clarify
first, there are companies such as John Snow Labs, the 2018 AI solution
provider winner, that are at the cutting edge of AI research and that future is
rapidly progressing and coming closer.
Bringing life changing drugs to market has always been a long
drawn out and costly process. AI can not only support the processes involved
but also assist working way through the analysis produced, making real life,
human like decisions in order to shorten searches and decisions. Now obviously
there needs to be a final human being decision, but decision paths are shorter
So how is machine learning becoming so useful?
At its most basic machine learning is skilled at working
millions of algorithms in a short time frame and providing the resulting
conclusions to the human operator because of their review and decision. The
beauty is that this speed of testing algorithms is vastly quicker than the mind
can undertake.
The second major difference to normal powerful data processing
software is, that AI or machine learning software can use these algorithms to
learn from the patterns and then create its own logic. Within medical research
these algorithms are tested many an incredible number of times until consistent
results are produced. These email address details are then flipped over to the
medical professional to make the individual decision based on the AI research.
When you look at such areas as medical research where there are
thousands of different possible outcomes and even more variables, coupled with
a healthy clutch of things that can go wrong, it is easy to see why machine
learning programmes are so welcomed by the medical field.
When looking at medical treatment, it is the myriad of factors
that can wrong where machine learning comes to the fore. Often combined with
Virtual Reality (VR) reasonable functions can be create, enabling the surgeon
to apply their skills without fear of injuring or even killing the patient. The
surgeon can practice the heart transplant numerous times with the AI providing
multiple scenarios predicated on the surgeon's activities until these are
confident enough to undertake the operation on a real live person.
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