Pain Management

Differential Diagnosis of Asthma and COPD: Established and Emerging Biomarkers and Technologies.

Asthma and chronic obstructive pulmonary disease (COPD) represent the two most prevalent chronic respiratory conditions worldwide, affecting hundreds of millions of individuals and imposing substantial morbidity and mortality. Despite their distinct biological mechanisms, these diseases frequently exhibit overlapping clinical features-including dyspnea, cough, and wheezing-that complicate differen...

PCMamba: Integrating partial convolution and state space models for lung cancer histopathological image classification.

Accurate classification of lung cancer histopathological images is essential for diagnosis and treatment planning, yet existing approaches face challenges in effectively capturing both local texture patterns and long-range spatial dependencies. Convolutional neural networks excel at local feature extraction but exhibit limited long-range dependency modeling. Transformer-based methods capture globa...

Latent profiles of generative artificial intelligence use among Chinese college students: Associations with depression and anxiety.

BACKGROUND: While generative artificial intelligence (GenAI) has been rapidly adopted by college students, its relationship with mental health remains...

Long-term complications of traditional and novel management of groin hernia: a narrative review.

Groin hernia repair is among the most common surgical procedures worldwide, yet chronic postoperative pain and recurrence remain important long-term c...

Deep Learning Versus LASSO-Based Machine Learning for 1-Year Survival After Surgery for Spinal Metastases: A JASA Multicenter Prospective Cohort Analysis.

STUDY DESIGN: Multicenter prospective cohort study; secondary analysis. OBJECTIVE: To evaluate predictors associated with 1-year survival after surger...

PAC-Net: A physics-guided multimodal hybrid network for antibody-antigen interaction prediction.

The precise prediction of Antibody-Antigen Interaction (AAI) is a pivotal task for accelerating antibody drug discovery and virtual screening. To addr...

[Advances in deep learning multimodal fusion for early diagnosis of knee osteoarthritis].

Knee osteoarthritis (KOA) is a common chronic degenerative disease that causes pain, functional limitation, and reduced quality of life in middle-aged...

Deep Learning-Based Automated Segmentation of the Suprascapular Nerve and Adjacent Structures in Dynamic Supraclavicular Ultrasound.

OBJECTIVE: The suprascapular nerve (SSN) provides major motor and sensory innervation to the shoulder. Its accurate identification on ultrasound is ch...

Clinicians' and people who use drugs' perspectives on artificial intelligence in addiction medicine.

BACKGROUND AND AIMS: Artificial intelligence (AI) may improve addiction medicine workflows and health outcomes but raises questions about data privacy...

Personalized adaptive virtual reality experience driven by electroencephalography-based pain recognition.

BACKGROUND: Non-pharmacological pain management represents an urgent clinical need. Emerging technologies such as virtual reality (VR) and electroence...

3D U-net for volumetric segmentation of spinal cord MRI in degenerative disorders.

The correct identification of spinal cord structures in magnetic resonance imaging (MRI) plays a vital role in identifying degenerative spondyloarthro...

Single-cell and spatial transcriptomics characterisation of RSPO2+ nucleus pulposus cells reveals a WNT/FN1-CD44 degenerative axis and therapeutic targets in IVDD.

BACKGROUND: Intervertebral disc degeneration (IVDD) is a common cause of chronic low back pain, imposing a significant economic and physiological burd...

Proof of Concept of Large Language Models for Opioid Treatment Policy Surveillance: 97% Agreement With Subject Matter Experts.

OBJECTIVE: Policy surveillance typically involves detailed, time-consuming manual screening of policies for inclusion in a final dataset. This screeni...

Dual-stage anatomical perception and reasoning framework for automated cobb angle estimation.

Accurate and automated Cobb angle measurement is essential for the diagnosis and management of Adolescent Idiopathic Scoliosis (AIS). However, existin...

Association between stomach pain and depression in middle-aged and older chinese adults: Evidence from CHARLS with machine learning and SHAP analysis.

BACKGROUND: Emerging evidence indicates a bidirectional relationship between gastrointestinal symptoms and psychological distress, yet population-base...

A Perovskite Memdiode-Based Neuromorphic in Silico Surrogate Model for Emulating Predictive Coding Failure in Diabetic Neuropathy.

Halide perovskite memdiodes have coupled ionic-electronic dynamics and are promising candidates for artificial synapses in neuromorphic computing. We ...

Patient Stratification for Improving Acute Chest Pain Management and Mitigating Emergency Department Crowding: Machine Learning Model Development and Validation.

BACKGROUND: Acute chest pain (ACP) is one of the most common chief complaints in the emergency department (ED), accounting for approximately 8% of all...

A Human-Governed Clinical Informatics Framework for Safe AI-Assisted Mental Health Counseling: Secondary Framework Development and Requirement Mapping Study.

BACKGROUND: Natural language processing and large language model systems are increasingly used to support mental health documentation, screening, and ...

Risk Factors for Pediatric Acute Chest Syndrome Utilizing Machine Learning Techniques.

Acute chest syndrome (ACS) causes significant morbidity and mortality in both adult and pediatric patients with sickle cell disease (SCD). Despite kno...

Research on LSTM-based spatial target trajectory forecasting enhanced by attention mechanisms.

To address the strong dependence of space object orbit prediction on physical models and initial conditions, as well as the difficulty of completely e...