Key words: cardiology, long-QT syndrome, ECG, algorithms, machine learning, diagnosis

“Diagnosing Long-QT Syndrome, Simple but not easy”

The long QT syndrome is a hereditary condition in which the electrical recovery of the heart is disturbed. Patients suffering from the long QT syndrome therefore have an increased risk of cardiac arrhythmia with heart palpitations, fainting or even sudden cardiac death. Early diagnosis of patients with long QT syndrome is therefore necessary. Especially since current therapies for long-QT syndrome are very efficient in preventing symptoms.

Currently, there are various issues with the diagnosis of long-QT syndrome. In this project, attempts have been made to improve the diagnosis of long-QT syndrome in various ways. For example, standard heart films with smart algorithms were analysed and the diagnosis was considerably improved compared to the current European guidelines for the diagnosis of long-QT syndrome.