Pain Management

Addressing diagnostic code variability in intimate partner violence surveillance through natural language processing: Evidence from substance use disorder populations.

BACKGROUND: Intimate partner violence (IPV) and substance use disorders (SUDs) represent major public health challenges, yet identifying IPV cases in electronic health records (EHR) remains difficult due to inconsistent documentation practices and variable billing procedures. METHODS: We constructed three patient cohorts based on SUDs or overdoses involving stimulants, opioids, or both from the EH...

Creativity in the age of AI: Exploring moderated mediation relationships between AI use, AI dependence, and academic support in higher education.

Artificial intelligence is increasingly being adopted in higher education. However, its usage has created new possibilities and challenges. It has transformed the way students acquire and apply knowledge. Although AI usage improves efficiency, concerns remain regarding its potential negative impact on creativity. Drawing on Cognitive Load Theory and Self-Determination Theory, this study examines t...

Adaptive dual-modality neuromodulation for chronic pain and muscle dysfunction: real-world insights from the NXTSTIM™ EcoAI digital platform.

BACKGROUND: Chronic musculoskeletal pain is often inadequately managed with pharmacologic therapy. Although transcutaneous electrical nerve stimulatio...

Interactive multimodal disease risk evaluation using a self-service non-invasive device.

BACKGROUND: Non-communicable diseases such as diabetes, fatty liver disease and chronic kidney disease are major global health burdens that benefit fr...

Multimodal hybrid recurrent framework with selective subpattern activation for smart contract vulnerability detection.

Detecting vulnerabilities in smart contracts is a critical challenge for blockchain security, as flaws such as reentrancy, timestamp dependence, and i...

Digital experts for fibromyalgia: A comparative analysis of ChatGPT, Gemini, and DeepSeek in addressing patient questions with focus on readability and medical accuracy.

BackgroundPatients with fibromyalgia require clear and reliable medical information to manage a complex chronic condition. AI-based tools may offer va...

Rapid Evaluation of Artificial Intelligence Technology Used for Ambient Dictation in Primary Care: Comparing the Quality of Documentation of Artificial Intelligence-Generated and Human-Produced Clinical Notes.

BACKGROUND: Ambient artificial intelligence (AI) scribes can reduce the burden of administrative documentation. Prior evaluations have been vendor spe...

Personalizing treatment of pancreatitis-associated chronic pain: the need for an integrated omics approach.

BACKGROUND: Chronic pancreatitis (CP) is a progressive inflammatory disorder characterized by debilitating chronic pain and substantial healthcare bur...

Artificial intelligence in cancer survivorship: evaluating ChatGPT's performance in rehabilitation-related queries.

PURPOSE: This study aimed to evaluate the performance of ChatGPT in responding to patient-centered queries related to cancer rehabilitation. It examin...

Machine Learning-Based Pattern Recognition of Risk Factors for Low Back Pain among Adolescent Cricket Players in Dhaka City.

Low back pain (LBP) is common among adolescent cricketers, often due to repetitive lumbar stress. This study investigated LBP among 450 adolescent cri...

Machine Learning Using Preoperative Patient Factors Can Predict the Severity of Pain Following Primary Total Hip Arthroplasty.

BACKGROUND: Persistent postoperative pain is a challenge in total hip arthroplasty (THA), yet a lack of accurate predictive tools exists for this outc...

DSTFGCN: A dynamic spatial-temporal fusion graph convolution network for traffic flow forecasting.

Traffic flow prediction is one of the core technology of Intelligent Transportation System. Its fundamental challenge is to effectively model the comp...

A review of traditional uses, phytoconstituents, bioactivities, and therapeutic potential of Hypecoum erectum L. and Hypecoum leptocarpum Hook.f. & Thomson.

ETHNOPHARMACOLOGICAL RELEVANCE: Hypecoi Erecti Herba, derived from plants of the genus Hypecoum (Papaveraceae), includes two source species: Hypecoum ...

Differential diagnosis of migraine and tension-type headache based on brain volumes using machine learning methods.

PURPOSE: Structural brain changes in migraine and tension-type headache (TTH) have mostly been investigated using voxel-based morphometry or regional ...

Lower pre-treatment TMS-evoked cortical reactivity and alpha-band oscillatory dynamics predict efficacy of primary motor cortex neuromodulation for chronic pain.

Repetitive transcranial magnetic stimulation (rTMS) to the primary motor cortex (M1) provides significant pain relief in ∼45% of chronic pain patients...

Personalizing In-Vehicle warnings: A causal machine learning approach to optimizing workload and risk perception.

The effectiveness of in-vehicle Connected Information (CI) is often limited by uniform warning strategies that overlook the interaction among warning ...

Classification and stratification of patient pain archetypes following total knee arthroplasty: a machine learning approach.

BACKGROUND: Up to 20% of total knee arthroplasty (TKA) patients experience significant postoperative pain that delays recovery and increases risk of c...

Multimodal Machine Learning for Diabetic Peripheral Neuropathy Diagnosis: Methodological Advances and Future Directions.

Interpretable deep learning reveals spatiotemporal MRI features of brain aging that align with neurodegeneration.

Cortical thinning and atrophy are hallmarks of brain aging that have been characterized using magnetic resonance imaging (MRI). Brain aging involves m...

[Comparative observation of analgesic efficacy between liposomal bupivacaine and "cocktail" therapy following artificial intelligence-assisted direct anterior approach total hip arthroplasty: A prospective randomized controlled study].

OBJECTIVE: To compare the analgesic efficacy and safety of liposomal bupivacaine (LB) versus ropivacaine for surgical incision local anesthesia after ...