Latest AI and machine learning research in pain management for healthcare professionals.
This study explored the application of machine learning in predicting post-treatment outcomes for ch...
Knee osteoarthritis (OA) diagnosis is based on symptoms, assessed through questionnaires such as the...
OBJECTIVE: A trial comparing extended-release naltrexone and sublingual buprenorphine-naloxone demon...
BACKGROUND: Treatment management for opioid poisoning is critical and, at the same time, requires sp...
Lung cancer is categorized into two main types: non-small cell lung cancer (NSCLC) and small cell lu...
Although existing reconstruction-based multivariate time series anomaly detection (MTSAD) methods ha...
OBJECTIVE: Common pain assessment approaches such as self-evaluation and observation scales are inap...
OBJECTIVES: Fibromyalgia is frequently treated with opioids due to limited therapeutic options. Long...
AIMS: Alcohol cravings are considered a major factor in relapse among individuals with alcohol use d...
Despite the potential of mesenchymal stromal cells (MSCs) in osteoarthritis (OA) treatment, the chal...
Artificial sensory systems with synergistic touch and pain perception hold substantial promise for e...
Convolutional neural networks (CNNs) are gradually being recognized in the neuroimaging community as...
Breast tumor segmentation in ultrasound images is fundamental for quantitative analysis and plays a ...
BACKGROUND: Early-life pain is associated with adverse neurodevelopmental consequences; and current ...
OBJECTIVES: The traditional understanding of craniocervical alignment emphasizes specific anatomical...
Globally, stroke is the third-leading cause of mortality and disability combined, and one of the cos...
It is of vital importance to establish an objective and reliable model to facilitate the early diagn...
BACKGROUND: The diagnosis of lumbar spinal stenosis (LSS) can be challenging because radicular pain ...
BACKGROUND: Low back pain (LBP) is a major global disability contributor with profound health and so...
Occluded person re-identification (Re-ID) is a challenging task, as pedestrians are often obstructed...
The study introduces a new online spike encoding algorithm for spiking neural networks (SNN) and sug...