Artificial Intelligence in Medicine

We live in a time when artificial intelligence is around us almost everywhere,
and it is developing at a tremendous pace. It changes many of the usual operating and
production processes, having a serious impact on the world labor market, which in
turn entails the need for the emergence of new specialties associated with working
with artificial intelligence. Today, being able to analyze and interact with technology
and robots is not just a desire, but the reality and necessity of our life.
AI’s huge contribution to medicine is undeniable. Its ability to recognize
patterns of data and analyze images in high resolution from scanners help doctors
identify various diseases; particularly, cancer. We are accustomed to the fact that the
diagnosis of cancer is always associated with analysis and tissue biopsy. But, as a
rule, tests are carried out at a time when the cancer is in its “mature” stage. As for
early screening, such tests are expensive and time consuming. However, the situation
can be simplified by the use of virtual algorithms.
Today many developers are engaged in neural networks for medicine,
specifically cancer diagnostics. Perhaps in the near future, neural networks will be
able to recognize different characteristics of a tumor. These are various methods and
developments that help not only to diagnose malignant changes in tissues, but also to
anticipate them in advance and help doctors make better decisions when treating
patients with cancer. AI technology is gaining ground in the field of cancer diagnosis
and treatment, and it helps doctors select the necessary drugs, as well as optimize
their dosage and combinations, taking into account the individual characteristics of
the patient.
Some image
AI analytics tools are not limited to diagnosis and treatment only; they can also
help in prevention. By analyzing the lifestyle of patients, it is possible to see the
factors and reasons that may contribute to the disease in the future. And such factors
are not always as obvious as, for example, smoking or drinking alcohol. There is no
doubt that more and more successful cases on this topic will appear in the coming
years. To use AI technologies successfully in the future it is necessary to accumulate
the experience and knowledge of the best doctors and apply them to the entire volume
of patients’ data and medical records (including analysis, data from electronic medical
records, and images obtained during examinations).
Undoubtedly, in order to use the artificial intelligence system for diagnostics
and treatment, it is necessary to conduct a number of experiments and AI cannot
replace doctors in oncology diagnostics and treatment, but will help them highlight
areas in the image for a more detailed study, as well as to more accurately determine
the size of the tumor. Neural networks can prompt, advise, and see point
characteristics, but not give a conclusion. This is important to know in order to not
become deceived.