BDI International Magazine - March/April Issue

system. This system builds a replica of a
cancerous tumor for a period of six hours.
Their goal is to test different drugs and
treatments in various doses to see which
one works the best. After the lab testing,
the patient will actually receive a tailormade
treatment program. This method
would decrease the side-effects and
increase the chances of survival.
3D printing is a very promising method for
the health care system and for human lives.
• DLAD and LYNA
DLAD stands for a Deep Learning-based
Automatic Detection algorithm.
Researchers from Seoul National
University Hospital and College of
Medicine had developed the DLAD AI
algorithm to analyze chest radiographs
and detect abnormal cell growth, like
potential cancers.
After this algorithm, a second one called
LYNA (Lymph Node Assistant) was
developed by researchers at Google AI
Healthcare. This algorithm analyzes
histology slides stained tissue samples in
order to differentiate metastatic breast
cancer tumors from lymph node biopsies.
The LYNA algorithm can identify
suspicious regions that are not
distinguishable to the human eye in the
biopsy samples. LYNA passed the tests on
two data sets and showed 99% accuracy
with cancerous and noncancerous
samples. With LYNA’s help, the average
slide review time is now halved.
It is predicted that the role of artificial
intelligence in medicine will continue to
grow drastically. But experts and
researchers warn that the growth must be
step by step, since the machines’ “brains”
are not thinking logically like the human
brains.
The key to creating an algorithm that will
be functional and practical in medicine is
a real understanding of the possibilities
by physicians. As much as the algorithm
might seem perfect, errors are always
possible that can be solved and improved
by the widespread audience. Setting up
stable relationships between doctors that
have the knowledge and the programmers
that create the algorithms, it will be less
likely for an algorithm to learn to make
incorrect choices.
Implementing artificial intelligence in
medicine is a real challenge, but it is worth
trying in order to increase the accuracy
and efficiency of medical practices for
numerous diseases.
The only question that can’t be answered yet
is, How much longer can we possibly extend
human lives by replacing body parts?
BDI International Magazine | Page 8