The use of artificial intelligence for teaching the diagnosis of infectious diseases

Abstract

A virtual patient model based on artificial intelligence is presented, simulating the parent of a sick child for interactive training of medical students in the diagnosis of children's intestinal infections. The created scenarios with variable clinical data and automated assessment of the student's actions make it possible to effectively form clinical thinking and standardize knowledge control without risk for real patients.