Pain Management

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

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A Deep Learning-Based Text Classification of Adverse Nursing Events.

Adverse nursing events occur suddenly, unpredictably, or unexpectedly during course of clinical diag...

Rectus sheath block for acute pain management after robot-assisted prostatectomy.

BACKGROUND: Robot-assisted laparoscopic prostatectomy (RALP) is a favored surgical approach for trea...

TMJOAI: An Artificial Web-Based Intelligence Tool for Early Diagnosis of the Temporomandibular Joint Osteoarthritis.

Osteoarthritis is a chronic disease that affects the temporomandibular joint (TMJ), causing chronic ...

Proteome-Informed Machine Learning Studies of Cocaine Addiction.

No anti-cocaine addiction drugs have been approved by the Food and Drug Administration despite decad...

On learning disentangled representations for individual treatment effect estimation.

OBJECTIVE: Estimating the individualized treatment effect (ITE) from observational data is a challen...

Association of Individual and Community Factors With Hepatitis C Infections Among Pregnant People and Newborns.

IMPORTANCE: The opioid crisis has increasingly affected pregnant people and infants. Hepatitis C vir...

Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction.

The prediction of crowd flows is an important urban computing issue whose purpose is to predict the ...

The Route of Motor Recovery in Stroke Patients Driven by Exoskeleton-Robot-Assisted Therapy: A Path-Analysis.

: Exoskeleton-robot-assisted therapy is known to positively affect the recovery of arm functions in ...

Effects of oral white willow bark () and intravenous flunixin meglumine on prostaglandin E in healthy dairy calves.

White willow bark (WWB) is commonly used in combination with other medicinal herbs and analgesics to...

Deep learning reveals disease-specific signatures of white matter pathology in tauopathies.

Although pathology of tauopathies is characterized by abnormal tau protein aggregation in both gray ...

The feasibility of deep learning-based synthetic contrast-enhanced CT from nonenhanced CT in emergency department patients with acute abdominal pain.

Our objective was to investigate the feasibility of deep learning-based synthetic contrast-enhanced ...

Characterizing shared and distinct symptom clusters in common chronic conditions through natural language processing of nursing notes.

Data-driven characterization of symptom clusters in chronic conditions is essential for shared clust...

Smartphone-Based Human Sitting Behaviors Recognition Using Inertial Sensor.

At present, people spend most of their time in passive rather than active mode. Sitting with compute...

A machine learning model to predict critical care outcomes in patient with chest pain visiting the emergency department.

BACKGROUND: Currently, the risk stratification of critically ill patient with chest pain is a challe...

HybridCTrm: Bridging CNN and Transformer for Multimodal Brain Image Segmentation.

Multimodal medical image segmentation is always a critical problem in medical image segmentation. Tr...

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