Migraines

The use of artificial intelligence in headache medical and patient education: Generation of visual aids.

Differential diagnosis of migraine and tension-type headache based on brain volumes using machine learning methods.

PURPOSE: Structural brain changes in migraine and tension-type headache (TTH) have mostly been investigated using voxel-based morphometry or regional volume analyses. However, the diagnostic discriminatory power of these volumetric parameters within machine learning (ML) models has not been sufficiently explored. This study evaluated the performance of brain volumes normalized to total intracrania...

Digital Monitoring of Pre-Exposure Prophylaxis Users Through Electronic Patient-Reported Outcome Measures and Electronic Patient-Reported Experience Measures: Multicenter Prospective Study on Feasibility, Safety, and Predictive Modeling of Digital Engagement.

BACKGROUND: Digital health tools integrating electronic patient-reported outcome and experience measures (ePROMs/ePREMs) enable longitudinal monitorin...

An exploratory study of headache pain intensity using facial expressions and APEX frames.

In this cross-sectional observational study, we developed a computer vision-based machine-learning model to estimate headache pain intensity from faci...

Thrombosis after surgical splenectomy - why, in whom and can we prevent it?

Splenectomy remains a common operation performed in the setting of trauma, haematological disease, malignancy and diagnostic purposes. Contemporary ev...

Exploratory prediction model for deep vein thrombosis in intensive care patients after anticoagulation therapy: An observational study.

BACKGROUND: Despite low-molecular-weight heparin (LMWH) prophylaxis, the incidence of deep vein thrombosis (DVT) remains high in intensive care unit (...

A Review of Vagus Nerve Stimulation for Disease: Comprehensive Theory and Evidence for Mechanisms of Action.

Vagus nerve stimulation (VNS) is an established neuromodulatory therapy approved for epilepsy, depression, obesity, stroke rehabilitation, rheumatoid ...

Forecasting migraine with time-series machine learning from mobile health data.

BACKGROUND: Machine learning provides a powerful framework to model the complex patterns underlying migraine attack onset from real-world high dimensi...

Ti3C2/CuCoSe2 p-n Heterojunction: Preparation and Mechanism for Machine Learning-enhanced Electrochemical Sensing of Rutin.

Rutin is widely employed as a therapeutic agent, but excessive intake may induce adverse reactions such as gastric discomfort, headache and dermatitis...

Concussion pathophysiology: From biomechanical insult to clinical phenotype - or is injury truly the beginning?

Mild traumatic brain injury (mTBI) is associated with substantial morbidity worldwide. Emerging evidence demonstrates that both impact- and blast-rela...

Percutaneous coronary intervention in high bleeding risk patients: a review of contemporary management strategies.

INTRODUCTION: High bleeding risk (HBR) affects over one-third of patients undergoing percutaneous coronary intervention (PCI) and is associated with e...

An AI-based nomogram (the CGRP score) for the prediction of response to modern migraine therapies: an independent assessment and some considerations on the application of AI tools in clinical setting.

From structural evolution to an AI-driven future of 5-HT1F receptor agonists for migraine therapy.

Migraine is a prevalent and disabling neurological disorder that imposes a substantial global disease burden, particularly among women of childbearing...

Unveiling state-specific neural dynamics in migraine with and without depressive symptom: a hidden Markov model and interpretable machine learning approach.

Genotype and Age at Onset Drive Vermis Atrophy in CACNA1A- and GAA-FGF14-related Ataxias.

UNLABELLED: CACNA1A- and GAA-FGF14-related channelopathies are among the most frequent genetic etiologies of cerebellar ataxia. They display overlappi...

Development and explainable AI-driven characterization of a prognostic model for haploidentical transplantation outcomes.

We developed a novel, explainable artificial intelligence (AI)-driven prognostic model using a contemporary single-centre cohort of 668 patients under...

Elucidating biopsychosocial mechanisms in migraine: an integrative analytics approach combining genetics, neuroimaging, and machine learning.

BACKGROUND: Migraine is a complex and disabling neurological disorder shaped by the interplay of biological, psychological, and behavioral factors. Cu...

The Lost Aura of the Physician in the Age of Artificial Intelligence.

Fetal and neonatal alloimmune thrombocytopenia (FNAIT): From reactive transfusion to proactive prevention.

Fetal and neonatal alloimmune thrombocytopenia (FNAIT) is a major cause of severe thrombocytopenia, intracranial hemorrhage, and long-term neurologica...

Genetic insights into migraine pathophysiology: COX-2 1195 A>G (rs689466) and COX-2 765 G>C (rs20417) polymorphisms and their clinical implications.

OBJECTIVES: This study aimed to investigate the association of COX-2 gene polymorphisms with key clinical features of migraine, including headache ons...