[Digitization in the diagnosis and treatment of headache].

Abstract

In recent years, machine learning, particularly Natural Language Processing, has emerged as a valuable tool for analyzing unstructured health data, such as headache anamneses. Studies demonstrate that algorithms can identify specific patterns and automate headache diagnoses. Various studies have also shown that machine learning algorithms achieve high diagnostic accuracy in distinguishing between headache types, including migraine and cluster headaches. Additionally, machine learning models are being used to predict potential triggers, treatment responses, and even the progression of headache disorders. Digital headache diaries and trigger-analysis apps are becoming increasingly important in therapy. Through digital health applications, new scalable non-drug options for headache and migraine therapy are available.