Pain Management

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

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Smartphones dependency risk analysis using machine-learning predictive models.

Recent technological advances have changed how people interact, run businesses, learn, and use their...

Artificial Neural Networks Coupled with MALDI-TOF MS Serum Fingerprinting To Classify and Diagnose Pathological Pain Subtypes in Preclinical Models.

Pathological pain subtypes can be classified as either neuropathic pain, caused by a somatosensory n...

Technique for Robotic Pancreaticojejunostomy.

BACKGROUND:: Minimally invasive, robotic techniques for hepatobiliary procedures offer the potential...

Using natural language processing to identify opioid use disorder in electronic health record data.

BACKGROUND: As opioid prescriptions have risen, there has also been an increase in opioid use disord...

Long-distance dependency combined multi-hop graph neural networks for protein-protein interactions prediction.

BACKGROUND: Protein-protein interactions are widespread in biological systems and play an important ...

Artificial intelligence for localization of the acute ischemic stroke by non-contrast computed tomography.

A non-contrast cranial computer tomography (ncCT) is often employed for the diagnosis of the early s...

A Novel Time-Series Memory Auto-Encoder With Sequentially Updated Reconstructions for Remaining Useful Life Prediction.

One of the significant tasks in remaining useful life (RUL) prediction is to find a good health indi...

Achieving Online Regression Performance of LSTMs With Simple RNNs.

Recurrent neural networks (RNNs) are widely used for online regression due to their ability to gener...

Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism.

Network representation learning or embedding aims to project the network into a low-dimensional spac...

Artificial intelligence techniques for neuropathological diagnostics and research.

Artificial intelligence (AI) research began in theoretical neurophysiology, and the resulting classi...

Deep learning-assisted sensitive detection of fentanyl using a bubbling-microchip.

Deep learning-enabled smartphone-based image processing has significant advantages in the developmen...

"Cephalgia" or "migraine"? Solving the headache of assessing clinical reasoning using natural language processing.

In this op-ed, we discuss the advantages of leveraging natural language processing (NLP) in the asse...

Identifying an Optimal Neuroinflammation Treatment Using a Nanoligomer Discovery Engine.

Acute activation of innate immune response in the brain, or neuroinflammation, protects this vital o...

Graph based multi-scale neighboring topology deep learning for kidney and tumor segmentation.

Effective learning and modelling of spatial and semantic relations between image regions in various ...

Artificial Intelligence-Enabled Evaluation of Pain Sketches to Predict Outcomes in Headache Surgery.

BACKGROUND: Recent evidence has shown that patient drawings of pain can predict poor outcomes in hea...

Causal deep learning reveals the comparative effectiveness of antihyperglycemic treatments in poorly controlled diabetes.

Type-2 diabetes is associated with severe health outcomes, the effects of which are responsible for ...

Ontology-based feature engineering in machine learning workflows for heterogeneous epilepsy patient records.

Biomedical ontologies are widely used to harmonize heterogeneous data and integrate large volumes of...

A novel combination of corneal confocal microscopy, clinical features and artificial intelligence for evaluation of ocular surface pain.

OBJECTIVES: To analyse various corneal nerve parameters using confocal microscopy along with systemi...

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