Pain Management

Can ChatGPT-4o handle the heat? Benchmarking AI against clinicians in initial burn care: A single-blinded comparative analysis.

INTRODUCTION: Artificial intelligence (AI) tools such as ChatGPT are increasingly accessed by the pu...

Investigation of Bias Using ChatGPT-4 in Pain Management and Patient Profiling.

BACKGROUND: Large language models, such as ChatGPT (cGPT), are being integrated increasingly into cl...

Descriptive content analysis assessment of ChatGPT responses to substance use disorder treatment questions compared to National health guidelines.

BACKGROUND: Artificial intelligence (AI)-powered large language models like ChatGPT are increasingly...

Deep Learning and Noninvasive Sensors for Detecting Physiological Dysregulation: A Scoping Review.

Early detection of pain, stress, or hemodynamic instability is key to preventing serious clinical ev...

Clinical Validation of Deep Learning-Accelerated versus Wave-CAIPI Postcontrast 3D T1-MPRAGE for Evaluation of Intracranial Enhancing Lesions.

BACKGROUND AND PURPOSE: Deep learning (DL) reconstruction methods have shown promise in accelerating...

Machine learning prediction of food addiction in university students using demographic, anthropometric and personality traits.

People's eating habits are influenced by psychological, social, cultural, and behavioral factors. Re...

Machine learning models for predicting treatment outcomes in chronic non-specific back pain patients undergoing lumbar extension traction.

A CT-based radiomics model for classification of chronic pancreatitis: new biomarkers for diagnosis and severity staging.

OBJECTIVES: To develop and validate CT-based radiomics models for the identification of chronic panc...

Evaluating the methodological suitability of partial dependence plots and Shapley additive explanations for population-level interpretation of machine learning models in total joint arthroplasty.

BACKGROUND: Total joint arthroplasty (TJA) complications necessitate the development of accurate ris...

From inhibition to regulation: serpins in health and disease.

This issue of the Biomedical Journal highlights regulatory mechanisms that shape aging, disease prog...

Rationalizing nose-to-brain drug delivery: Machine learning-guided optimization and mechanistic elucidation of olfactory deposition for nasal sprays.

Nose-to-brain drug delivery via nasal sprays is severely limited by low olfactory deposition. In thi...

Discussion of Toward Opioid-Free Ambulatory Surgery: A Prospective Study Using Machine Learning to Predict Postoperative Opioid Use.

Neuroimmune Cross-Talk and Multilevel Cascades in Fentanyl Toxicity: Interplay of Hypoxic Stress, Glial Activation, and Synaptic Dysregulation in Systems-Level Neurodegeneration.

Fentanyl, an ultra-potent synthetic opioid, has traditionally been characterized by its acute toxic ...

Feasibility study of fast T2-weighted imaging with deep-learning reconstruction in volunteers and emergency patients with acute abdomen.

PURPOSE: To evaluate the image quality and clinical utility of DLR-enhanced single-shot fast spin-ec...

Tegmental kappa-opioid receptor neurons modulate opioid withdrawal via the periaqueductal gray.

Opioid withdrawal is a common and distressing manifestation of opioid dependence which, if left untr...

Multimodal Rehabilitation for Advanced Cancer Pain: a Narrative Review of Emerging Nonpharmacological Strategies.

PURPOSE OF REVIEW: This narrative review aims to explore research advances in multimodal rehabilitat...

Prediction of medication overuse in patients with migraine using cox regression and machine learning: a real-world cohort.

Peptide-nanoparticle platforms for antisense therapeutics: A coarse-grained modeling approach to brain delivery.

Traumatic brain injury (TBI) is a leading cause of long-term neurological deficits, often resulting ...

Novel bayesian nonparametric unsupervised learning approach to precision symptom management in cancer survivors: a re-analysis of a comparative effectiveness trial.

Cancer survivors often experience multiple cooccurring symptoms such as insomnia, pain, fatigue, and...

Performance of Machine Learning Models in Predicting Outcomes After ACDF: A Systematic Review and Meta-Analysis of 443 000 Patients.

Study DesignSystematic review and meta-analysis.ObjectiveDirect head-to-head comparison of machine l...

HMC-transducer: hierarchical mamba-CNN transducer for robust liver tumor segmentation.

Accurate segmentation of liver tumors from computed tomography (CT) scans is critical for clinical d...