Pain Management

Machine learning identifies genes linked to neurological disorders induced by equine encephalitis viruses, traumatic brain injuries, and organophosphorus nerve agents.

Venezuelan, eastern, and western equine encephalitis viruses (collectively referred to as equine enc...

Application of a grey wolf optimization-enhanced convolutional neural network and bidirectional gated recurrent unit model for credit scoring prediction.

With the digital transformation of the financial industry, credit score prediction, as a key compone...

Significance and mechanisms of perineural invasion in malignant tumors.

Cancer remains the second leading cause of death worldwide. Tumor invasion and metastasis pose signi...

The changes in brain network functional gradients and dynamic functional connectivity in SeLECTS patients revealing disruptive and compensatory mechanisms in brain networks.

BACKGROUND: Self-limited epilepsy with centrotemporal spikes (SeLECTS), a common childhood focal epi...

Migraine triggers, phases, and classification using machine learning models.

BACKGROUND: In many countries, patients with headache disorders such as migraine remain under-recogn...

Identifying high-dose opioid prescription risks using machine learning: A focus on sociodemographic characteristics.

OBJECTIVE: The objective of this study was to leverage machine learning techniques to analyze admini...

MSA-MaxNet: Multi-Scale Attention Enhanced Multi-Axis Vision Transformer Network for Medical Image Segmentation.

Convolutional neural networks (CNNs) are well established in handling local features in visual tasks...

Prognostic Effect of Trigeminal Neuralgia Treated With Percutaneous Balloon Compression by Machine Learning-based Modeling of Radiomic Morphological Features.

BACKGROUND: Trigeminal neuralgia (TN) is defined as spontaneous pain in the region of the trigeminal...

An evolving machine-learning-based algorithm to early predict response to anti-CGRP monoclonal antibodies in patients with migraine.

BACKGROUND: The present study aimed to determine whether machine-learning (ML)-based models can pred...

BioGSF: a graph-driven semantic feature integration framework for biomedical relation extraction.

The automatic and accurate extraction of diverse biomedical relations from literature constitutes th...

[Digitization in the diagnosis and treatment of headache].

In recent years, machine learning, particularly Natural Language Processing, has emerged as a valuab...

Frequency-Specific Alternations in the Amplitude of Fluctuations in Tension-Type Headache: A Machine Learning Study.

Brain neural signal at different frequency bands relates to different functions. However, the freque...

Deep Learning to Discriminate Arteritic From Nonarteritic Ischemic Optic Neuropathy on Color Images.

IMPORTANCE: Prompt and accurate diagnosis of arteritic anterior ischemic optic neuropathy (AAION) fr...

Deep learning assisted quantitative analysis of Aβ and microglia in patients with idiopathic normal pressure hydrocephalus in relation to cognitive outcome.

Neuropathologic changes of Alzheimer disease (AD) including Aβ accumulation and neuroinflammation ar...

Conversations in Content and Context: Can We Teach AI to Chat About Drawings?

An innovative chatbot incorporates a drawing tool allowing users to draw pictures that symbolise the...

Tabula Rasa: A Case Study in Chronic Pain Management Using Individual-Centric AI.

There are numerous behavioural, social and environmental factors that influence the symptomatology o...

Automated deep learning segmentation of neuritic plaques and neurofibrillary tangles in Alzheimer disease brain sections using a proprietary software.

Neuropathological diagnosis of Alzheimer disease (AD) relies on semiquantitative analysis of phospho...

Response to letter to the editor: "What predicts citation counts and translational impact in headache research? A machine learning analysis".

Natural Language Processing Accurately Differentiates Cancer Symptom Information in Electronic Health Record Narratives.

PURPOSE: Identifying cancer symptoms in electronic health record (EHR) narratives is feasible with n...

Artificial intelligence and headache.

BACKGROUND AND METHODS: In this narrative review, we introduce key artificial intelligence (AI) and ...

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