Latest AI and machine learning research in pain management for healthcare professionals.
Chronic pain is a multifactorial condition presenting significant diagnostic and prognostic challenges. Biomarkers for the classification and the prediction of chronic pain are therefore critically needed. Here, in this multidataset study of over 523,000 participants, we applied machine learning to multidimensional biological data from the UK Biobank to identify biomarkers for 35 medical condition...
This paper examines the rise of clinical decision support algorithms used to assess risk in pain management and the opioid industry's influence on their development and implementation. To understand this influence, we conducted a qualitative study of documents related to the development of a tool that relied on artificial intelligence (AI) to suggest modifications in opioid prescribing, called Nar...
BACKGROUND: The present study aimed to deliver a replicable transcriptomic map of migraine without aura (MO) and its comprehensive, genome- and drug d...
Diabetes remains a significant health challenge globally, contributing to severe complications like kidney disease, vision loss, and heart issues. T...
Pain remains poorly understood in task-free contexts, limiting our understanding of its neurobehavioral basis in naturalistic settings. Here, we use a...
Study DesignRetrospective analysis of prospective data.ObjectivesNeck pain represents a crucial factor underscoring a patient's decision to receive su...
BACKGROUND: Chronic musculoskeletal pain (CMP) impacts around 20% of people globally, resulting in patients living with pain, fatigue, restricted soci...
Rotator cuff tears are a common cause of shoulder pain and dysfunction, affecting up to 33% of the population, and approximately 250,000 arthroscopic ...
From the original abstract: This thesis initially aims to study the pain assessment process from a clinical-theoretical perspective while exploring ...
Introduction: Operative management of spinal metastatic disease is largely for symptom palliation and revolves around the expectation that postoperati...
Dravet syndrome is a developmental and epileptic encephalopathy, characterized by the early onset of drug-resistant seizures and various comorbiditi...
The fusion of low-spatial-resolution hyperspectral images (HSIs) with high-spatial-resolution conventional images (e.g., panchromatic or RGB) has pl...
In the context of the new mandatory labor compliance in the European Union (EU), which will be implemented in 2027, supply chain enterprises face st...
Video super-resolution (VSR) can achieve better performance compared to single image super-resolution by additionally leveraging temporal informatio...
Underwater image enhancement (UIE) is a critical preprocessing step for marine vision applications, where wavelength-dependent attenuation causes se...
Accurate classification of medical device risk levels is essential for regulatory oversight and clinical safety. We present a Transformer-based mult...
Post-training quantization (PTQ) has evolved as a prominent solution for compressing complex models, which advocates a small calibration dataset and...
BACKGROUND: Pain-related conditions are the leading cause of years lived with disability globally. Managing pain presents significant challenges, incl...
BACKGROUND: Spinal pain is a pervasive global health issue that poses significant challenges because of the disability and economic burden it causes. ...
Diffusion models have demonstrated appealing performance in both image and video generation. However, many works discover that they struggle to capt...