Pain Management

AI-powered chronic kidney disease detection integrating TabNet and LSTM for precision diagnosis.

Chronic kidney disease (CKD) is a leading cause of morbidity and mortality worldwide, with early detection being vital for effective treatment and management. Traditional diagnostic methods often struggle with the difficulty of CKD datasets, leading to delays in diagnosis and intervention. Despite advancements in machine learning, there remains a need for more effective and accurate models that ca...

Autonomic Parameters Correlated to Acute Postoperative Pain in the Postanesthesia Care Unit: A Systematic Review.

INTRODUCTION: Current pain scoring systems are being replaced by sensor-derived physiological parameters responding to autonomic changes (i.e., autonomic parameters such as heart rate variability and pupillary diameter) that quantify pain intensity at a specific moment. However, evidence supporting their use in postoperative patients is scarce. This review aims to analyze the correlation between a...

Modeling and forecasting vibrio vulnificus concentration of long-range dependence on marine environmental conditions.

Vibrio vulnificus (vvh) is an epidemiologically significant bacterium that naturally occurs in coastal waters under favorable environmental conditions...

A lightweight model for perceptual image compression via implicit priors.

Perceptual image compression has shown strong potential for producing visually appealing results at low bitrates, surpassing classical standards and p...

Subgrouping non-specific low back pain based on spinal marker trajectory data: An unsupervised machine learning approach.

BACKGROUND: Non-specific low back pain (LBP) is a heterogeneous condition. Therefore, it is important to investigate whether clinically feasible asses...

Machine learning-based prediction models to assess 30-day outcomes following intervention for superficial venous incompetence of the lower limbs.

OBJECTIVE: Treatment of incompetent superficial veins can be associated with postoperative complications and pain, potentially impacting on patients' ...

Using precision medicine methods to identify disease stages for chronic limb-threatening ischemia in participants of the BEST-CLI trial.

BACKGROUND: Chronic limb-threatening ischemia (CLTI), the most severe form of peripheral artery disease, is associated with a high risk of limb loss. ...

Multi-modal deep-learning troponin prediction from electrocardiograms and demographic data.

AIMS: Electrocardiograms (ECGs) and troponin (Tn) testing are essential tools for the diagnosis and management of cardiac conditions. Prompt diagnosis...

Multidimensional quantification of pain responses using novel rat pain scale reveals the absence of opioid induced hyperalgesia following chronic contingent and non-contingent morphine exposure in rats.

Opioids are often prescribed to treat chronic and post-operative pain, but there is data to suggest that opioid exposure can lead to hyperalgesia or a...

Robotic thoracic surgery: what is different in anesthesia?

PURPOSE OF REVIEW: Robotic-assisted thoracic surgery (RATS) has emerged as a transformative approach in thoracic surgery, enabling enhanced precision ...

Anxiety Promotes Occlusal Interference-Induced Myalgia via the Mesolimbic System.

Acute occlusal interference may induce chronic masticatory myalgia in some individuals. The potential factors and underlying mechanisms that predispos...

Machine learning accuracy for assessment of functional movement in Low back pain based on clinically applicable performance Metrics: A systematic review.

PURPOSE: To assess whether machine learning (ML) can accurately evaluate functional kinematics in people with low back pain (LBP) when judged by psych...

Accelerometer-measured intensity-specific physical activity, genetic susceptibility, and back pain risk: a UK Biobank cohort study.

BACKGROUND CONTEXT: Current clinical guidelines lack clear, quantitative recommendations on intensity-specific physical activity (PA) levels for preve...

Age-specific modifiable determinants and nonlinear risk patterns of habitual low back pain in a large medical check-up cohort: a cross-sectional and longitudinal analysis.

BACKGROUND: Age-related mechanisms underlying habitual low-back pain (LBP) remain poorly defined, with most studies pooling heterogeneous populations ...

A novel machine learning-based method to quantify the effect of transcranial direct current stimulation on opioid users.

BACKGROUND: Opioid addiction is a major public health concern, associated with numerous health and social problems. Conventional diagnostic methods fo...

Predicting neurobehavioral outcomes in people with HIV.

BACKGROUND: This study identified complex, multidimensional, longitudinal biopsychosocial (BPS) phenotypes (MLBPSPs) in people with HIV (PWH) and eval...

Anesthesia and mitochondria: balancing toxicity and protection through emerging therapeutic strategies.

Anesthesia is a cornerstone of modern surgical practice, enabling interventions by deliberately modulating nociception and consciousness-from localize...

Artificial intelligence and peripheral neuropathies: Strategies for the development, application, and repair of regenerative biomaterials.

Traditional repair methods for peripheral neuropathies, such as autologous and allogeneic nerve grafts, face limitations, while peripheral nerve regen...

Modified UNet-enhanced ultrasonic superb microvascular imaging feature extraction and grading of carpal tunnel syndrome.

Carpal tunnel syndrome (CTS) is recognized as the most frequently encountered median nerve (MN) entrapment neuropathy, with a disproportionate burden ...

Graph-patchformer: Patch interaction transformer with adaptive graph learning for multivariate time series forecasting.

Multivariate time series (MTS) forecasting plays a pivotal role in the digitalization and intelligent development of modern society, while previous MT...