Medical Informatics

Artificial Intelligence

AI is supposed to do what human or natural intelligence is capable of, such as learning, reasoning, problem-solving, decision making, planning, knowledge acquisition and representation, language and social interactions. Intelligence is found everywhere in nature such as animals and even more primitive forms of living cells. The real emphasis is on learning and language that makes human intelligence superior than others – allegedly. So, what is learning!

Learning

Learning
is finding out
what you already know
Doing is demontrating that
you know it
Teaching is reminding others
that they know just as well as you
You are all learners,
doers, teachers

Richard Bach “Illusions”

We will keep learning more and more about what learning is but we do know what learning isn’t. Merely processing information through audio, visual, sensory, digital or any other inputs for that matter, is not learning.

Before we discuss AI we must understand that AI is a part of HI (Human Intelligence), neither separate from it nor a replacement of it.  Even a brain kept in brand new condition is far superior than any sophisticated AI system.

A more fundamental question is how much we know about intelligence and how we learn about it. A philosophical question will be, can a brain understand a brain. Those theoretical debates aside we do have a system that has  a great deal of potential for greater good or catastrophic evil and, that is up to us.

AI in Medicine

There are many useful applications of AI in Medicine and Health in general. To start with, medical research will benefit enormously with the advancement of AI. particular interests in genetics, clinical trials, computer modelling, pharmacology, new drug development, as well as health informatics, data management etc. 

AI applications in Clinical setting is the most critical and controversial issue due to its direct impact on human health and well being. It is this aspect that the Medical Fraternity should pay most attention to.