Latest AI and machine learning research in pain management for healthcare professionals.
In Electronic Health Records (EHRs), much of valuable information regarding patients' conditions is ...
UNLABELLED: Recent studies have posited that machine learning (ML) techniques accurately classify in...
OBJECTIVE: To investigate the effects of general anaesthesia and general+epidural anaesthesia on the...
OBJECTIVE: We aimed to compare lateral and midline epidural anaesthesia using a levobupivacaine-fent...
OBJECTIVE: This study was designed to compare the effects of dexketoprofen, lornoxicam, and diclophe...
OBJECTIVE: Although robotic surgery decreases pain compared to laparotomy, postoperative pain can be...
Recent reports of multivariate machine learning (ML) techniques have highlighted their potential use...
BACKGROUND: Modeling drug interactions is important for illustrating combined drug actions and for p...
BACKGROUND: Mathematical modeling approaches are becoming ever more established in clinical neurosci...
Intraoperative injury of the obturator nerve may occur in gynecologic oncologic procedures when exte...
Ocular complications reported after robotic-assisted laparoscopic radical prostatectomy (RALP) inclu...
Artificial neural networks (ANNs) effectively analyze non-linear data sets. The aimed was A review o...
Summarize functional outcomes after transoral robotic surgery (TORS) ± adjuvant therapy for orophary...
Introduction: Postmortem imaging at ultrahigh field strengths, such as 7 Tesla (7T) magnetic resonan...
Title and abstract screening limit the timeliness of systematic reviews used for clinical guidelines...
Lewy body dementia (LBD), which encompasses Parkinson's disease dementia (PDD) and Dementia with Lew...
Background: Wearable technologies enable scalable and continuous monitoring of emotional states thro...
Objective: Stigmatizing language in the electronic health record (EHR) has been associated with adve...
Neuroimaging based pain decoding faces two underappreciated challenges: between subject variability ...
Machine learning is increasingly applied to species-level biological data, but phylogenetic autocorr...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the leading cause of dement...