Artificial Intelligence and Medicine: History, Current State, and Forecasts for the Future

Author(s): Leonid. N. Yasnitsky*

Journal Name: Current Hypertension Reviews

Volume 16 , Issue 3 , 2020

Become EABM
Become Reviewer
Call for Editor

Graphical Abstract:


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.

Rights & PermissionsPrintExport Cite as

Article Details

Year: 2020
Published on: 14 January, 2021
Page: [210 - 215]
Pages: 6
DOI: 10.2174/1573402116666200714150953
Price: $65

Article Metrics

PDF: 29