Pain Management

Migraines

Latest AI and machine learning research in migraines for healthcare professionals.

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Showing 106-126 of 1,244 articles
Towards automatic airborne pollen monitoring: From commercial devices to operational by mitigating class-imbalance in a deep learning approach.

Allergic diseases have been the epidemic of the century among chronic diseases. Particularly for pol...

Assessment of Risk Factors and Outcome of Early Versus Late Cytomegalovirus Infection Infection in Living-related D+/R + Renal Allograft Recipients.

INTRODUCTION: Cytomegalovirus infection (CMV) in a kidney transplant recipient (KTR) is a serious co...

Clinical presentation of COVID-19 - a model derived by a machine learning algorithm.

COVID-19 pandemic has flooded all triage stations, making it difficult to carefully select those mos...

Building an Automated Orofacial Pain, Headache and Temporomandibular Disorder Diagnosis System.

Physicians collect data in patient encounters that they use to diagnose patients. This process can f...

Intraosseous Regional Administration of Antibiotic Prophylaxis in Total Knee Arthroplasty.

BACKGROUND: Periprosthetic joint infection (PJI) is a devastating complication following total knee ...

Selecting Children with Vesicoureteral Reflux Who are Most Likely to Benefit from Antibiotic Prophylaxis: Application of Machine Learning to RIVUR.

PURPOSE: Continuous antibiotic prophylaxis reduces the risk of recurrent urinary tract infection by ...

An Exploratory Study of a New Vancomycin Eye Drops Formulation for Extemporaneous Compounding.

PURPOSE: Compounded eye drop solutions of vancomycin hydrochloride have important clinical applicati...

Antibiotics are not necessary during routine cystoscopic stent removal: A randomized controlled trial at UC San Diego.

INTRODUCTION: Current American Urological Association (AUA) Best Practice Statement recommends antib...

Machine learning-based automated classification of headache disorders using patient-reported questionnaires.

Classification of headache disorders is dependent on a subjective self-report from patients and its ...

How Will Machine Learning Inform the Clinical Care of Atrial Fibrillation?

Machine learning applications in cardiology have rapidly evolved in the past decade. With the availa...

Prevalence and Diagnosis of Neurological Disorders Using Different Deep Learning Techniques: A Meta-Analysis.

This paper dispenses an exhaustive review on deep learning techniques used in the prognosis of eight...

Y-Site Compatibility of Intravenous Levetiracetam With Commonly Used Critical Care Medications.

Levetiracetam is an antiepileptic medication commonly used in critical care areas for seizure treat...

Subgrouping Factors Influencing Migraine Intensity in Women: A Semi-automatic Methodology Based on Machine Learning and Information Geometry.

BACKGROUND: Migraine is a heterogeneous condition with multiple clinical manifestations. Machine lea...

Multi-Objective Optimization for Personalized Prediction of Venous Thromboembolism in Ovarian Cancer Patients.

Thrombotic events are one of the leading causes of mortality and morbidity related to cancer, with o...

Two-step deep neural network for segmentation of deep white matter hyperintensities in migraineurs.

BACKGROUND AND OBJECTIVE: Patients with migraine show an increased presence of white matter hyperint...

Macrophage Nitric Oxide and Interleukin-1 Beta Suppression by Seed.

OBJECTIVES: has long been used in folk medicine to treat diseases including fever, headache, burns,...

Sensor analysis and initial assessment of detectable first hoof contacts and last break-overs as unique signal fluctuations for equine gait analysis.

The objective of the control study was to assess 2 prominent fluctuations in a single optical signal...

Exercise-Associated Hyponatremia.

Exercise-associated hyponatremia (EAH) refers to below-normal serum sodium concentrations [Na+] that...

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