Pain Management

Latest AI and machine learning research in pain management for healthcare professionals.

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Intravenous Fluid for the Treatment of Emergency Department Patients With Migraine Headache: A Randomized Controlled Trial.

STUDY OBJECTIVE: The objective of this pilot study is to assess the feasibility and necessity of per...

Identifying substance use risk based on deep neural networks and Instagram social media data.

Social media may provide new insight into our understanding of substance use and addiction. In this ...

Multimodal MRI-based classification of migraine: using deep learning convolutional neural network.

BACKGROUND: Recently, deep learning technologies have rapidly expanded into medical image analysis, ...

Utilizing soft constraints to enhance medical relation extraction from the history of present illness in electronic medical records.

Relation extraction between medical concepts from electronic medical records has pervasive applicati...

Gene Regulatory Relationship Mining Using Improved Three-Phase Dependency Analysis Approach.

How to mine the gene regulatory relationship and construct gene regulatory network (GRN) is of utmos...

Determining Pain Catastrophizing From Daily Pain App Assessment Data: Role of Computer-Based Classification.

This study compared persons with chronic pain who consistently reported that their pain was worsenin...

DeepNitro: Prediction of Protein Nitration and Nitrosylation Sites by Deep Learning.

Protein nitration and nitrosylation are essential post-translational modifications (PTMs) involved i...

Factorization machines and deep views-based co-training for improving answer quality prediction in online health expert question-answering services.

In online health expert question-answering (HQA) services, it is significant to automatically determ...

The Elephant in the Room: Outbreak of Carfentanil Deaths in Minnesota and the Importance of Multiagency Collaboration.

Over a three-month period in early 2017, the Hennepin County Medical Examiner's Office investigated ...

Small Intestinal Bacterial Overgrowth in Patients With Cirrhosis.

Small intestinal bacterial overgrowth (SIBO) is defined by increased density and/or abnormal composi...

A deep convolutional neural network approach for astrocyte detection.

Astrocytes are involved in various brain pathologies including trauma, stroke, neurodegenerative dis...

Ethambutol-induced optic neuropathy in renal disorder: a clinico-electrophysiological study.

OBJECTIVE: To report the spectrum of ethambutol induced optic neuropathy in a group of renal patient...

Deep Neural Network Based Predictions of Protein Interactions Using Primary Sequences.

Machine learning based predictions of protein⁻protein interactions (PPIs) could provide valuable ins...

Machine-learned selection of psychological questionnaire items relevant to the development of persistent pain after breast cancer surgery.

BACKGROUND: Prevention of persistent pain after breast cancer surgery, via early identification of p...

Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection.

Purpose To determine the feasibility of using a deep learning approach to detect cartilage lesions (...

Hybrid 3D/2D Convolutional Neural Network for Hemorrhage Evaluation on Head CT.

BACKGROUND AND PURPOSE: Convolutional neural networks are a powerful technology for image recognitio...

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