Open AccessArtificial intelligence systems for doctors training
Author(s) -
E. A. Druzhinina,
В. Г. Никитаев,
А. Н. Проничев,
I. P. Shabalova,
V. Yu. Sel’chuk,
V. V. Dmitrieva,
E. V. Polyakov,
T. V. Dzhangirova,
Sergey Mozerov
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1439/1/012030
Subject(s) - quality (philosophy) , product (mathematics) , training system , training (meteorology) , computer science , medical education , artificial intelligence , knowledge management , medicine , engineering management , engineering , philosophy , physics , geometry , mathematics , epistemology , meteorology , economics , economic growth
One of the most effective solutions of oncology problems is creation of artificial intelligence medical systems. Intelligent medical system is a collaboration product of doctors and IT specialists. This article reveals an approach to the creation of educational intelligent systems using the example of an intellectual teaching system for the cytological diagnosis of breast diseases. These systems are based on many years of doctor’s practice and improve the quality of training for new doctors.