Latest AI and machine learning research in pain management for healthcare professionals.
A typical challenge in air pollution epidemiology is to perform detailed exposure assessment for ind...
AIMS/HYPOTHESIS: Corneal confocal microscopy is a rapid non-invasive ophthalmic imaging technique th...
This study evaluated prediction performance of three different machine learning (ML) techniques in p...
IMPORTANCE: Automatic curation of consumer-generated, opioid-related social media big data may enabl...
We present a novel AI-based approach to the few-shot automated segmentation of mitochondria in large...
: To address the question of whether antibiotic therapy can obviate the need for prostate biopsy (PB...
Sepsis is a major health concern with global estimates of 31.5 million cases per year. Case fatality...
OBJECTIVES: Opioid-free anaesthesia is a treatment strategy of pain management based on the use of d...
Standard feature engineering involves manually designing measurable descriptors based on some expert...
Gastrinomas are neuroendocrine tumors characterized by gastrin overexpression - 80% are sporadic and...
OBJECTIVE: 5-HT3 receptor antagonists are known to possess local anesthetic properties and are commo...
Understanding the protein-secretion dynamics from single, specific tissues is critical toward the ad...
PURPOSE: To develop and validate a deep learning (DL) algorithm that predicts referable glaucomatous...
BACKGROUND: Chiari-like malformation (CM) is a complex malformation of the skull and cranial cervica...
A commentary by Thoemmes on Wiedermann and Sebastian's introductory article on Direction Dependence ...
This paper presents a novel adaptive resonance theory (ART)-based modular architecture for unsupervi...
BACKGROUND AND OBJECTIVE: Patients with migraine show an increased presence of white matter hyperint...
The folding of a protein structure is a process governed by both local and nonlocal interactions. Wh...
Fibromyalgia (FM) is a chronic syndrome characterized by widespread musculoskeletal pain, and physic...
There is growing interest in estimating quantum observables while circumventing expensive computatio...
BACKGROUND: This study is to evaluate the accuracy of machine learning for differentiation between o...