This article traces the history of the development of artificial intelligence as a science
that constantly responds to current problems that arise in medical practice. Attention is drawn to the
fact that almost all modern neural systems of medical diagnostics are static. This means that they do
not have a time axis, and therefore, can only make diagnoses of diseases at the current time. As a
result, doctors have to make prescriptions for prevention and treatment courses without checking on
computer models what this may lead to in the future. Thus, consciously or unconsciously, doctors
have to experiment on patients, which is an ethical problem. This article shows that this centuriesold
ethical problem can be solved by further development and application of modern methods of
artificial intelligence. Optimal selection of prevention and treatment courses can be made by virtual
predictive experimentation on dynamic computer models of patients.
Keywords: Artificial intelligence, neural network, diagnostics, forecasting, virtual computer experiments, bioethics.
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