Artificial intelligence in the diagnosis and treatment of surgical diseases (literature review)

All over the world, artificial intelligence is becoming increasingly widespread in clinical medicine, which contributes to improving diagnosis, treatment and prevention, as well as reducing morbidity and mortality. In surgery, the development and implementation of artificial intelligence is slower than in other areas of modern medicine.

Objective - to to study the historical aspects of the development of artificial intelligence and modern directions of its application in the diagnosis and treatment of surgical diseases.

Materials and methods. The analysis of literary data was carried out in the search engines Pubmed, Google Scholar, Scopus with a depth of coverage of publications of 10 years.

Results. This article presents the latest data on the use of artificial intelligence for making diagnoses, analyzing and subsequently interpreting the results of examinations, the operation of robotic systems, planning and determining the tactics of surgical intervention. The advantages, disadvantages and modern challenges of using artificial intelligence technologies in medicine are considered.

Conclusion. Despite the fact that currently the introduction of artificial intelligence into medicine and, in particular, into surgery is facing a number of specific problems and difficulties, it can be assumed that in the coming years artificial intelligence will become one of the components of an integrated approach to patient treatment. At the same time, it is important that surgeons understand the basic principles of artificial intelligence and participate in their development. Keywords: artificial intelligence, artificial neural networks, machine learning, surgical diseases, digital networks, model, information, efficiency, patient.

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