Computer Aided Oncology Conference
Every week I go to a few
conferences in which cancer cases are discussed. Oncology, the branch of
medicine that treats cancer, is a very active area. Developments are
reported daily. The rate of clinically important discovery is
accelerating.
I have a good memory,
evidenced by my performance in medical school and National Boards exams. But my
computer remembers much better than I can. It never forgets anything. My
computer can access the world's medical literature in seconds. It can
translate papers from Chinese. It can give me the most recently updated
recommendations from the NCCN, or the BC Cancer Agency, or the UpToDate online textbook
instantly. That is why I come to conference armed with my computer linked
into the internet.
The continuous improvement in computer intellectual power is
demonstrated by their relentless ascendancy in high level games. Chess, Jeopardy and Go are contests in which complex decision processes are tested and demonstrated. In 1997, Garry Kasparov lost the world
chess champion to a computer, IBM’s Deep Blue. It was
predictable that the machine would, eventually, win. IBM's Watson became
the greatest of Jeopardy champions. Google’s AlphaGo is sweeping the
Go world. All of these games, whose masters have
extraordinary talents and abilities, are yielding to the machine.
The machine has qualities that no human will ever be able to match...
unassisted.
The machine never
forgets. The machine can search its memory, most of the world's knowledge, with
lightning rapidity. It can carry out algorithms at near light speed. The
puny, slow moving human memory is no match.
But humans have
qualities that the machine cannot (yet) replicate. The human has
sensitivities, shared in a multifaceted and spectral way, with other humans.
There are ways in which we understand each other that a silicon processor cannot.
It could, possibly, be programmed to mimic the human responses to
emotion, but it cannot feel empathy.
When I bring my computer to conference, I add to the machine.
I tell it what to look up. I define the search parameters.
Having done this for more than 25 years, I can do it rapidly and well.
It is an art that incorporates a level of speculation about how
biological processes might be related. It also involves a (reasonable)
expectation that someone else has had the same question and it has been written
about.
I then decide which articles are truly relevant and estimate
the validity of the information. Even a human brain can do all this in less
than two minutes. I think it works out well. That is why I continue
to do it and encourage others to try it, and improve upon it.
The machine is spectacular in the things it can do. The doctor adds human qualities and direction to that instantly accessible, vast, and reliable knowledge base. No person can beat the machine in its tasks, but the combination of the human and the machine remains (for the foreseeable future) the best solution, better than the machine alone.
The presentation of the patient's case at conference and sharing of experiences and
opinion is critically important. It forces an
organized and clear presentation. All the data (pathology, imaging,
etc.) is open for inspection and scrutiny. Sometimes, carefully considered human analysis prevails over all the data.
Better data can help create better opinions.
Let’s improve.