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Machine learning clinical decision support for interdisciplinary multimodal chronic musculoskeletal pain treatment.

Chronic musculoskeletal pain is a prevalent condition impacting around 20% of people globally; resulting in patients living with pain, fatigue, restricted social and employment capacity, and reduced quality of life. […]

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The Use of Immersive Audiovisual Distraction with Virtual Reality During Pain Procedures: A Randomized Controlled Trial.

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MACHINE LEARNING ANALYSIS OF THE UK BIOBANK REVEALS PROGNOSTIC AND DIAGNOSTIC IMMUNE BIOMARKERS FOR POLYNEUROPATHY AND NEUROPATHIC PAIN IN DIABETES.

We assessed the health data of 11,047 people with diabetes in the UK Biobank to rank 329 risk factors for diabetic polyneuropathy (DPN) and DPN with chronic neuropathic pain without […]

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Verification of a clinical decision support system for the diagnosis of headache disorders based on patient-computer interactions: a multi-center study.

Although headache disorders are common, the current diagnostic approach is unsatisfactory. Previously, we designed a guideline-based clinical decision support system (CDSS 1.0) for diagnosing headache disorders. However, the system requires […]

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First-in-human prediction of chronic pain state using intracranial neural biomarkers.

Chronic pain syndromes are often refractory to treatment and cause substantial suffering and disability. Pain severity is often measured through subjective report, while objective biomarkers that may guide diagnosis and […]

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Adding tactile feedback increases avatar ownership and makes virtual reality more effective at reducing pain in a randomized crossover study.

Severe pain is a widespread health problem in need of novel treatment approaches. In the current study we used real water to give virtual objects (i.e., animated virtual water) more […]

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A digital health intervention to support patients with chronic pain during prescription opioid tapering: a pilot randomised controlled trial.

Recent changes in opioid prescribing guidelines have led to an increasing number of patients with chronic pain being recommended to taper. However, opioid tapering can be challenging, and many patients […]

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Identification of patients with chronic migraine by using sensory-evoked oscillations from the electroencephalogram classifier.

To examine whether the modulating evoked cortical oscillations could be brain signatures among patients with chronic migraine, we investigated cortical modulation using an electroencephalogram with machine learning techniques.

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Idealized multiple-timescale model of cortical spreading depolarization initiation and pre-epileptic hyperexcitability caused by Na1.1/SCN1A mutations.

Na1.1 (SCN1A) is a voltage-gated sodium channel mainly expressed in GABAergic neurons. Loss of function mutations of Na1.1 lead to epileptic disorders, while gain of function mutations cause a migraine […]

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The role of artificial intelligence in headache medicine: Potential and peril.

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