Pain Management

Predicting kinesiophobia in knee osteoarthritis: a head-to-head comparison between machine learning and traditional regression models.

BACKGROUND: Although machine learning (ML) holds promise for improving clinical identification, its application to kinesiophobia in knee osteoarthritis (KOA) is limited. Therefore, this study aimed to develop and compare logistic regression (LR)-based nomograms with ML models to determine the optimal approach for identifying kinesiophobia status and guiding personalized interventions. METHODS: A c...

Predicting poor health-related quality of life among Chinese adolescents using explainable machine learning: the role of school adjustment, family context, and lifestyle factors.

BACKGROUND: Adolescents' health-related quality of life (HRQoL) is influenced by multiple domains, including school, family, and individual lifestyle. However, evidence remains limited on accurately predicting adolescent HRQoL and identifying modifiable determinants. This study aimed to develop a machine-learning prediction model for adolescent HRQoL and to determine key contextual factors associa...

Machine learning-based clinical tool for identifying factors associated with symptomatic knee osteoarthritis: the Nagahama study.

BACKGROUND: A clinical tool that evaluates factors associated with symptomatic knee osteoarthritis (OA) based on modifiable factors is lacking. This s...

Hetairos is a histology-based artificial intelligence model for predicting central nervous system tumor methylation subtypes.

Molecular testing is essential for classifying central nervous system (CNS) tumors, with methylation profiling providing the highest diagnostic granul...

Advances in Ultrasound-Guided Fascial Plane Blocks for Perioperative Acute Pain Management.

INTRODUCTION: Perioperative acute pain remains a major challenge because conventional analgesic strategies are often limited by inadequate efficacy an...

Transforming mRNA drug design with AI: From UTR and codon optimization to coordinated design.

BACKGROUND: The design of mRNA drugs involves a complex and high-dimensional optimization of sequence elements to balance stability, translation effic...

Identifying communities at elevated risk of hepatitis C infection in Los Angeles County: an ecological study using machine learning.

BACKGROUND: Identifying communities disproportionately affected by hepatitis C infection is essential for targeted prevention and resource allocation....

A multimodal approach to equine thoracolumbar myofascial pain: integrating clinical examination, AI-based gait analysis, and the ridden horse pain ethogram.

BACKGROUND: Myofascial pain syndrome (MPS) is considered highly prevalent in horses, yet it is frequently underdiagnosed due to limited understanding ...

Loneliness and AI chatbot dependence in young adults: the mediating role of perceived social support.

BACKGROUND AND OBJECTIVES: Rapid advancements in artificial intelligence (AI) have facilitated the widespread integration of AI chatbots into everyday...

Hybrid-CMLP: Hybrid CNN-MLP Networks for Low-to-standard-dose PET Synthesis.

Positron Emission Tomography (PET) is a critical modality in medical imaging for detecting abnormalities and diagnosing diseases. However, the radiati...

Artificial intelligence in the management of chronic pain and lipedema: A comparative analysis of ChatGPT-5o, Gemini-3, and perplexity AI in terms of readability and academic reliability.

ObjectivesLipedema is a chronic disorder characterized by pain and disproportionate fat distribution, and its diagnosis is frequently overlooked. The ...

Impact of middle meningeal artery embolization on neurological complications and discharge outcomes in chronic subdural hematoma: A machine learning-based comparative study.

INTRODUCTION: Chronic subdural hematoma (cSDH) predominantly affects older adults, often those with prior head trauma, anticoagulation therapy, or chr...

An explainable predictive machine learning model of oxaliplatin induced peripheral neuropathy based on clinical data: a retrospective single center.

BACKGROUND: Oxaliplatin (OXA) is widely used in the treatment of gastrointestinal malignancies such as colorectal cancer. However, oxaliplatin-induced...

Auricular Point Acupressure Self-Management (APA-SM) program for chronic musculoskeletal pain among rural populations: a protocol for a pragmatic, randomized controlled trial.

INTRODUCTION: Chronic musculoskeletal pain (CMP) is a leading cause of incurred personal healthcare costs and disability in the USA. It disproportiona...

Impact of the EILA application on smoking cessation among hospital workers: a randomised controlled trial.

OBJECTIVES: Smoking remains a major preventable cause of lung and cardiovascular disease. This randomised controlled trial evaluated EILA, a mobile ap...

Cervical musculoskeletal function is variable in tension-type headache: A cluster analysis.

OBJECTIVES: This study was conducted to (1) consider the causes of neck pain in tension-type headache (TTH) by investigating how the patients with TTH...

Exploration of comorbidity mechanisms between chronic pain and depression: Machine learning prediction models and SHAP interpretability analysis based on the CHARLS cohort.

INTRODUCTION: With rapid population aging in China, depression among middle-aged and older adults has become a major public health concern. Chronic pa...

Development and internal validation of a clinical prediction model for hemodialysis-related headache using LASSO and Boruta feature selection.

A common neurological symptom in dialysis patients is hemodialysis-related headache (HRH), which can result in premature hemodialysis termination and ...

Behavioral Inhibition Network Predicts Alcohol Use in Men and Stress in Women.

OBJECTIVE: Impulsivity, a complex construct linked to addictions, is often inconsistently assessed and conceptualized, making it difficult to effectiv...

The efficacy of ChatGPT as a student resource for the diagnosis and treatment of neck pain.

INTRODUCTION: The use of Chat Generative Pretrained Transformer (ChatGPT) is becoming a highly used source of clinical information. No study has evalu...