[Potential applications of deep learning-based technologies in Hungarian mammography].

Introduction And Aim: The technology, named 'deep learning' is the promising result of the last two decades of development in computer science. It poses an unavoidable challenge for medicine, how to understand, apply and adopt the - today not fully explored - possibilities that have become available by these new methods.

Method: It is a gift and a mission, since the exponentially growing volume of raw data (from imaging, laboratory, therapy diagnostics or therapy interactions, etc.

Minor physical anomalies are more common in children with idiopathic epilepsy.

Background: The prevalence of minor physical anomalies (prenatal errors of morphogenesis) was evaluated in patients with idiopathic epilepsy to get indirect data on the possible role of aberrant neurodevelopment in the etiology of the disease.

Aim: Connecting to current opinions on a possible role of aberrant neurodevelopment in idiopathic epilepsy it seems important to introduce somatic trait marker research focusing on brain maldevelopment.

Methods: A scale developed by Méhes (1985) was used to detect the presence or absence of 57 minor physical anomalies in 24 patients with idiopathic epilepsy and in 24 matched controls.