Pain Management

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

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Development and validation of automated three-dimensional convolutional neural network model for acute appendicitis diagnosis.

Rapid, accurate preoperative imaging diagnostics of appendicitis are critical in surgical decisions ...

Comparison of predictive models for knee pain and analysis of individual and physical activity variables using interpretable machine learning.

BACKGROUND: Knee pain is associated with not only individual factors such as age and obesity but als...

Disclosing neonatal pain in real-time: AI-derived pain sign from continuous assessment of facial expressions.

This study introduces an AI-derived pain sign for continuous neonatal pain assessment, addressing th...

Machine-learning models for the prediction of ideal surgical outcomes in patients with adult spinal deformity.

AIMS: Adult spinal deformity (ASD) surgery can reduce pain and disability. However, the actual surgi...

DER-GCN: Dialog and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialog Emotion Recognition.

With the continuous development of deep learning (DL), the task of multimodal dialog emotion recogni...

Proposing a short version of the Unesp-Botucatu pig acute pain scale using a novel application of machine learning technique.

Surgical castration of males is carried out on a large scale in the US swine industry and the pain r...

AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women.

Topic modeling is a crucial technique in natural language processing (NLP), enabling the extraction ...

Prediction and validation of anoikis-related genes in neuropathic pain using machine learning.

BACKGROUND: Neuropathic pain (NP) can be induced by a variety of clinical conditions, such as spinal...

Artificial Intelligence and Predictive Modeling in the Management and Treatment of Episodic Migraine.

PURPOSE OF REVIEW: Artificial intelligence (AI) has impacted different aspects of headache medicine,...

A feature explainability-based deep learning technique for diabetic foot ulcer identification.

Diabetic foot ulcers (DFUs) are a common and serious complication of diabetes, presenting as open so...

Unveiling the effect of urinary xenoestrogens on chronic kidney disease in adults: A machine learning model.

Exposure to three primary xenoestrogens (XEs), including phthalates, parabens, and phenols, has been...

CT-Based Machine Learning Radiomics Analysis to Diagnose Dysthyroid Optic Neuropathy.

PURPOSE: To develop CT-based machine learning radiomics models used for the diagnosis of dysthyroid ...

Dynamic graph-based bilateral recurrent imputation network for multivariate time series.

Multivariate time series imputation using graph neural networks (GNNs) has gained significant attent...

Machine learning-enhanced back muscle strength prediction considering lifting condition and individual characteristics.

This study investigated factors influencing back muscle strength, focusing on sex, forearm posture a...

Artificial Intelligence Methods for Diagnostic and Decision-Making Assistance in Chronic Wounds: A Systematic Review.

Chronic wounds, which take over four weeks to heal, are a major global health issue linked to condit...

Machine learning classification of active viewing of pain and non-pain images using EEG does not exceed chance in external validation samples.

Previous research has demonstrated that machine learning (ML) could not effectively decode passive o...

Diabetic peripheral neuropathy detection of type 2 diabetes using machine learning from TCM features: a cross-sectional study.

AIMS: Diabetic peripheral neuropathy (DPN) is the most common complication of diabetes mellitus. Ear...

A Multimodal Pain Sentiment Analysis System Using Ensembled Deep Learning Approaches for IoT-Enabled Healthcare Framework.

This study introduces a multimodal sentiment analysis system to assess and recognize human pain sent...

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