Migraines

Evaluating Medical Students' Perceptions of AI-Assisted Clinical Documentation (CarePilot): Cross-Sectional Study.

BACKGROUND: Artificial intelligence (AI) is increasingly being integrated into health care to stream...

Adrenal gland dysfunction in males with cluster headache.

BACKGROUND: Cluster headache is associated with compensated hypogonadism in males, suggesting impair...

Impaired glymphatic function and advanced brain age gap in chronic migraine: a multimodal MRI study.

OBJECTIVES: This study investigated whether the coupling between cortical blood-oxygen-level-depende...

Addressing the Treatment Gap for Pediatric Headache in Underserved Regions.

PURPOSE OF REVIEW: This review explores innovative strategies to address the treatment gap for pedia...

CT-based radiomic markers to predict late-onset seizures after traumatic brain injury.

Post-traumatic epilepsy (PTE) is a major long-term complication of traumatic brain injury (TBI), but...

NerveAI- a machine learning algorithm for detection of nerve pain in the head and neck.

Nerve pain screening in patients with headache disorders requires specialized clinical knowledge tha...

Divergent neuropsychiatric and systemic toxicity profiles of abemaciclib and palbociclib: a triangulation study integrating pharmacovigilance, genetic epidemiology, and multi-omics profiling.

Cyclin-dependent kinase 4/6 inhibitors improve outcomes in hormone receptor-positive, human epiderma...

Interpretable machine learning for postoperative nausea and vomiting prediction in elderly orthopedic patients: a comparative study.

BACKGROUND: Postoperative nausea and vomiting (PONV) prolongs hospitalization and reduces patient sa...

Machine Learning in HIV Care and Antiretroviral Therapy: Systematic Review.

BACKGROUND: Artificial intelligence (AI) is expanding across various medical fields, with machine le...

Algometric assessment of sensitization and habituation as predictive markers for OnabotulinumtoxinA response in chronic migraine.

BACKGROUND: Chronic migraine is a debilitating disorder characterized by central sensitization and i...

Machine learning-based prediction of Familial Hemiplegic Migraine risk from genetic variants.

BACKGROUND: Familial Hemiplegic migraine (FHM) is a rare migraine subtype characterised by transient...

Pilot evaluation of a large language model-mediated pre-consultation interview for vestibular disorders.

OBJECTIVE: Efficient and high-quality history taking is central to vestibular diagnosis, but it is o...

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 inves...

Recent Advances in Lung Transplantation: Innovations Shaping the Next Era.

Lung transplantation (LTx) has undergone rapid advancement over the last 2 decades. Once-limiting ba...

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 meas...

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 m...

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, m...

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 thro...

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, depre...

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

BACKGROUND: Machine learning provides a powerful framework to model the complex patterns underlying ...