Pain Management

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

8,715 articles
Stay Ahead - Weekly Pain Management research updates
Subscribe
Browse Specialties
Showing 400-420 of 8,715 articles
Computer tomography-based radiomics combined with machine learning for predicting the time since onset of epidural hematoma.

Estimation of the age of epidural hematoma (EDH) is a challenge in clinical forensic medicine, and t...

Machine learning insights into scapular stabilization for alleviating shoulder pain in college students.

Non-specific shoulder pain is a common musculoskeletal condition, especially among college students,...

Use of machine learning to identify prognostic variables for outcomes in chronic low back pain treatment: a retrospective analysis.

OBJECTIVES: Most patients seen in physical therapy (PT) clinics for low back pain (LBP) are treated ...

Automated video-based pain recognition in cats using facial landmarks.

Affective states are reflected in the facial expressions of all mammals. Facial behaviors linked to ...

Recognizing and explaining driving stress using a Shapley additive explanation model by fusing EEG and behavior signals.

Driving stress is a critical factor leading to road traffic accidents. Despite numerous studies that...

Moving towards the use of artificial intelligence in pain management.

BACKGROUND AND OBJECTIVE: While the development of artificial intelligence (AI) technologies in medi...

Predicting frailty in older patients with chronic pain using explainable machine learning: A cross-sectional study.

Frailty is common among older adults with chronic pain, and early identification is crucial in preve...

Assessing polyomic risk to predict Alzheimer's disease using a machine learning model.

INTRODUCTION: Alzheimer's disease (AD) is the most common form of dementia in the elderly. Given tha...

Automated acute pain prediction in domestic goats using deep learning-based models on video-recordings.

Facial expressions are essential in animal communication, and facial expression-based pain scales ha...

Multi-lesion segmentation guided deep attention network for automated detection of diabetic retinopathy.

Accurate multi-lesion segmentation together with automated grading on fundus images played a vital r...

Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity.

Functional connectivity network (FCN) data from functional magnetic resonance imaging (fMRI) is incr...

Combining Fiber Bragg Grating and Artificial Intelligence Technologies for Supporting Epidural Procedures.

OBJECTIVE: Loss of resistance (LOR) is a widely accepted method for performing epidural punctures in...

Sparse Coding Inspired LSTM and Self-Attention Integration for Medical Image Segmentation.

Accurate and automatic segmentation of medical images plays an essential role in clinical diagnosis ...

Artificial intelligence in obstetric anaesthesiology - the future of patient care?

The use of artificial intelligence (AI) in obstetric anaesthesiology shows great potential in enhanc...

The emerging role of artificial intelligence in neuropathology: Where are we and where do we want to go?

The field of neuropathology, a subspecialty of pathology which studies the diseases affecting the ne...

Dynamic meta-graph convolutional recurrent network for heterogeneous spatiotemporal graph forecasting.

Spatiotemporal Graph (STG) forecasting is an essential task within the realm of spatiotemporal data ...

Browse Specialties