Pain Management

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

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Predicting Clinical Outcomes at the Toronto General Hospital Transitional Pain Service via the Manage My Pain App: Machine Learning Approach.

BACKGROUND: Chronic pain is a complex condition that affects more than a quarter of people worldwide...

Circulating microRNA profiles are associated with acute pain and stress in castrated and tail docked lambs.

Maintaining animal welfare is an essential component of animal production systems. However, multiple...

Physiological Sensor Modality Sensitivity Test for Pain Intensity Classification in Quantitative Sensory Testing.

Chronic pain is prevalent and disproportionately impacts adults with a lower quality of life. Althou...

Integrating data mining with transcranial focused ultrasound to refine neuralgia treatment strategies.

BACKGROUND: Neuralgia and other neuropathic pain are difficult to treat owing to their complicated e...

SpineMamba: Enhancing 3D spinal segmentation in clinical imaging through residual visual Mamba layers and shape priors.

Accurate segmentation of three-dimensional (3D) clinical medical images is critical for the diagnosi...

A stacking ensemble machine learning model for predicting postoperative axial pain intensity in patients with degenerative cervical myelopathy.

Machine learning (ML) has been extensively utilized to predict complications associated with various...

Machine learning-based risk prediction model for neuropathic foot ulcers in patients with diabetic peripheral neuropathy.

BACKGROUND: Diabetic peripheral neuropathy (DPN) is a common chronic complication of diabetes, marke...

Unveiling CNS cell morphology with deep learning: A gateway to anti-inflammatory compound screening.

Deciphering the complex relationships between cellular morphology and phenotypic manifestations is c...

Developing predictive models for ยต opioid receptor binding using machine learning and deep learning techniques.

Opioids exert their analgesic effect by binding to the ยต opioid receptor (MOR), which initiates a do...

Stagger Network: Rethinking information loss in medical image segmentation with various-sized targets.

Medical image segmentation presents the challenge of segmenting various-size targets, demanding the ...

Battery state of health estimation under fast charging via deep transfer learning.

Accurate state of health (SOH) estimation is essential for effective lithium-ion battery management,...

Machine learning predicts spinal cord stimulation surgery outcomes and reveals novel neural markers for chronic pain.

Spinal cord stimulation (SCS) is a well-accepted therapy for refractory chronic pain. However, predi...

Artificial intelligence-based incisive canal visualization for preventing and detecting post-implant injury, using cone beam computed tomography.

The aim of this study was to clinically validate an artificial intelligence (AI)-based tool for auto...

A hybrid vine copula-fuzzy model for groundwater level simulation under uncertainty.

Accurate simulation of groundwater level is crucial for the sustainable management of water resource...

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