Pain Management

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

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Multiscale deformed attention networks for white blood cell detection.

White blood cell (WBC) detection is pivotal in medical diagnostics, crucial for diagnosing infection...

Multi-modal sentiment recognition with residual gating network and emotion intensity attention.

Multimodal emotion recognition focuses on the prediction of emotions using text, visual and acoustic...

Machine learning for predicting medical outcomes associated with acute lithium poisoning.

The use of machine learning algorithms and artificial intelligence in medicine has attracted signifi...

Multi-Granularity Autoformer for long-term deterministic and probabilistic power load forecasting.

Long-term power load forecasting is critical for power system planning but is constrained by intrica...

Constructing machine learning-based risk prediction model for osteoarthritis in population aged 45 and above: NHANES 2011-2018.

Osteoarthritis is a widespread chronic joint disease, becoming increasingly prevalent, particularly ...

ConnectomeAE: Multimodal brain connectome-based dual-branch autoencoder and its application in the diagnosis of brain diseases.

BACKGROUND AND OBJECTIVE: Exploring the dependencies between multimodal brain networks and integrati...

Network traffic prediction based on transformer and temporal convolutional network.

This paper proposes a hybrid model combining Transformer and Temporal Convolutional Network (TCN). T...

A dual-path convolutional neural network combined with an attention-based bidirectional long short-term memory network for stock price prediction.

The complexities of stock price data, characterized by its nonlinearity, non-stationarity, and intri...

Predicting mortality and risk factors of sepsis related ARDS using machine learning models.

Sepsis related acute respiratory distress syndrome (ARDS) is a common and serious disease in clinic....

Predicting lung cancer bone metastasis using CT and pathological imaging with a Swin Transformer model.

Bone metastasis is a common and serious complication in lung cancer patients, leading to severe pain...

A machine learning-based framework for predicting postpartum chronic pain: a retrospective study.

BACKGROUND: Postpartum chronic pain is prevalent, affecting many women after delivery. Machine learn...

Diabetes: Non-Invasive Blood Glucose Monitoring Using Federated Learning with Biosensor Signals.

Diabetes is a growing global health concern, affecting millions and leading to severe complications ...

Changes in recreational drug use, reasons for those changes and their consequence during and after the COVID-19 pandemic in the UK.

Changes in drug use in the general population during the COVID-19 pandemic and their long-term conse...

Identification of aging-related biomarkers for intervertebral disc degeneration in whole blood samples based on bioinformatics and machine learning.

INTRODUCTION: Aging is characterized by gradual structural and functional changes in the body over t...

Baseline predictors of responders to auricular point acupressure in chronic low back pain.

BACKGROUND: Chronic low back pain (cLBP) is a major cause of disability, with varied patient respons...

DCATNet: polyp segmentation with deformable convolution and contextual-aware attention network.

Polyp segmentation is crucial in computer-aided diagnosis but remains challenging due to the complex...

Deep Learning Approach Readily Differentiates Papilledema, Non-Arteritic Anterior Ischemic Optic Neuropathy, and Healthy Eyes.

OBJECTIVE: Deep learning (DL) has been used in differentiating a range of ophthalmic conditions. We ...

MXene-enabled organic synaptic fiber for ultralow-power and biochemical-mediated neuromorphic transistor.

Fibrous bioelectronic provides an intrinsically accessible platform for artificial nerve and real-ti...

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