Pain Management

Deep learning-guided postoperative pain assessment in children.

Current automated pain assessment methods only focus on infants or youth. They are less practical be...

Enabling Scientific Reproducibility through FAIR Data Management: An ontology-driven deep learning approach in the NeuroBridge Project.

Scientific reproducibility that effectively leverages existing study data is critical to the advance...

Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition.

Previous work on clinical relation extraction from free-text sentences leveraged information about s...

The role of artificial intelligence in headache medicine: Potential and peril.

Benefits and implications of integrating artificial intelligence in manuscripts submitted to Headache.

Deep SE-BiLSTM with IFPOA Fine-Tuning for Human Activity Recognition Using Mobile and Wearable Sensors.

Pervasive computing, human-computer interaction, human behavior analysis, and human activity recogni...

Implementing PainChek and PARO to Support Pain Assessment and Management in Residents with Dementia: A Qualitative Study.

BACKGROUND: Pain is a common problem but often undiagnosed and untreated in people with dementia.

Contribution of whole slide imaging-based deep learning in the assessment of intraoperative and postoperative sections in neuropathology.

The pathological diagnosis of intracranial germinoma (IG), oligodendroglioma, and low-grade astrocyt...

A deep learning-based technique for the diagnosis of epidural spinal cord compression on thoracolumbar CT.

PURPOSE: To develop a deep learning (DL) model for epidural spinal cord compression (ESCC) on CT, wh...

Opportunistic Extraction of Quantitative CT Biomarkers: Turning the Incidental Into Prognostic Information.

The past two decades have seen a significant increase in the use of CT, with a corresponding rise in...

Behind the ChatGPT Hype: Are Its Suggestions Contributing to Addiction?

ChatGPT has been a frequent topic of discussion lately. All over the Internet, from YouTube to blogs...

Experimental Exploration of Multilevel Human Pain Assessment Using Blood Volume Pulse (BVP) Signals.

Critically ill patients often lack cognitive or communicative functions, making it challenging to as...

A deep learning model for the diagnosis of sacroiliitis according to Assessment of SpondyloArthritis International Society classification criteria with magnetic resonance imaging.

PURPOSE: The purpose of this study was to develop and evaluate a deep learning model to detect bone ...

Comparison between ketorolac- and fentanyl-based patient-controlled analgesia for acute kidney injury after robot-assisted radical prostatectomy: a retrospective propensity score-matched analysis.

PURPOSE: It is unclear whether ketorolac-based patient-controlled analgesia (PCA) leads to acute kid...

Machine Learning Algorithms Can Be Reliably Leveraged to Identify Patients at High Risk of Prolonged Postoperative Opioid Use Following Orthopedic Surgery: A Systematic Review.

Machine learning (ML) has emerged as a method to determine patient-specific risk for prolonged post...

Transformer guided progressive fusion network for 3D pancreas and pancreatic mass segmentation.

Pancreatic masses are diverse in type, often making their clinical management challenging. This stud...

Robot-assisted lateral pelvic lymph node dissection in patients with advanced rectal cancer: a single-center experience of 65 cases.

The treatment of lateral pelvic lymph node (LPLN) metastasis of rectal cancer has evolved because of...

Robot-Assisted Kyphoplasty versus Fluoroscopy-Assisted Kyphoplasty: A Meta-Analysis of Postoperative Outcomes.

Osteoporotic vertebral compression fractures are the most common manifestation of osteoporosis. Perc...

Comparison between intra- and postoperative outcomes of the da Vinci SP and da Vinci Xi robotic platforms in patients undergoing radical prostatectomy.

The new SP robot incorporates a single trocar that houses a flexible camera and three bi-articulated...

A Study of 57 Patients with Prostate Cancer to Compare Outcomes of Estimated Blood Loss and Postoperative Pain Between Robot-Assisted Laparoscopic Radical Prostatectomy and Standard Laparoscopic Radical Prostatectomy.

BACKGROUND Robot-assisted radical prostatectomy (RARP) is becoming an increasingly common method for...

Diagnosis of Alzheimer Disease and Tauopathies on Whole-Slide Histopathology Images Using a Weakly Supervised Deep Learning Algorithm.

Neuropathologic assessment during autopsy is the gold standard for diagnosing neurodegenerative diso...