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Three-dimensional deep learning to automatically generate cranial implant geometry.

We present a 3D deep learning framework that can generate a complete cranial model using a defective...

DREAM: Drug-drug interaction extraction with enhanced dependency graph and attention mechanism.

Drug-drug interactions (DDIs) aim at describing the effect relations produced by a combination of tw...

Comparative Study of Postoperative Pain Relief Using Preincisional Versus Postincisional Infiltration With 0.25% Bupivacaine in Abdominal Hysterectomy Under General Anesthesia.

BACKGROUND AND AIMS: Hysterectomy, probably the most common non-pregnancy related surgery performed ...

Genome-Wide Association Study and Post-genome-Wide Association Study Analysis for Spike Fertility and Yield Related Traits in Bread Wheat.

Spike fertility and associated traits are key factors in deciding the grain yield potential of wheat...

Deep Learning Post-Filtering Using Multi-Head Attention and Multiresolution Feature Fusion for Image and Intra-Video Quality Enhancement.

The paper proposes a novel post-filtering method based on convolutional neural networks (CNNs) for q...

Brain Network Organization Following Post-Stroke Neurorehabilitation.

Brain network analysis can offer useful information to guide the rehabilitation of post-stroke patie...

A Case Study of Upper Limb Robotic-Assisted Therapy Using the Track-Hold Device.

The Track-Hold System (THS) project, developed in a healthcare facility and therefore in a controlle...

Analysis of Clinical Parameters, Drug Consumption and Use of Health Resources in a Southern European Population with Alcohol Abuse Disorder during COVID-19 Pandemic.

The disruption in healthcare attention to people with alcohol dependence, along with psychological d...

Developing basic robotic skills using virtual reality simulation and automated assessment tools: a multidisciplinary robotic virtual reality-based curriculum using the Da Vinci Skills Simulator and tracking progress with the Intuitive Learning platform.

This study sought to develop basic robotic surgical skills among surgical trainees across multiple s...

Re: Lloyd P, Hong A, Furrer MA, et al. A comparative study of perioperative outcomes for 100 consecutive post-chemotherapy and primary robot assisted and open retroperitoneal lymph node dissections. World J Urol. 2021; DOI: 10.1007/s00345-021-03832-0.

Prediction of post-stroke urinary tract infection risk in immobile patients using machine learning: an observational cohort study.

BACKGROUND: Urinary tract infection (UTI) is one of major nosocomial infections significantly affect...

Deep learning of early brain imaging to predict post-arrest electroencephalography.

INTRODUCTION: Guidelines recommend use of computerized tomography (CT) and electroencephalography (E...

Nerve spare robot assisted laparoscopic prostatectomy with amniotic membranes: medium term outcomes.

dHACM is a source of factors including cytokines that allow anti-inflammatory and proliferative elem...

Preoperative oral carbohydrate loading: Effects on intraoperative blood glucose levels, post-operative nausea and vomiting, and intensive care unit stay.

BACKGROUND AND AIMS: Preoperative fasting imparts safety to patients from aspiration of gastric cont...

Computational signatures for post-cardiac arrest trajectory prediction: Importance of early physiological time series.

BACKGROUND: There is an unmet need for timely and reliable prediction of post-cardiac arrest (CA) cl...

Elevated Levels of Urinary Biomarkers TIMP-2 and IGFBP-7 Predict Acute Kidney Injury in Neonates after Congenital Heart Surgery.

 This article investigated the utility of urine biomarkers tissue inhibitor of metalloproteinase-2 ...

A contextual multi-task neural approach to medication and adverse events identification from clinical text.

Effective wide-scale pharmacovigilance calls for accurate named entity recognition (NER) of medicati...

Evaluation of Unfractionated Heparin Dosing by Antifactor Xa During Targeted Temperature Management Post Cardiac Arrest.

PURPOSE: To evaluate unfractionated heparin (UFH) dosing guided by antifactor Xa levels during targe...

A weakly supervised model for the automated detection of adverse events using clinical notes.

With clinical trials unable to detect all potential adverse reactions to drugs and medical devices p...

The effect of a post-scan processing denoising system on image quality and morphometric analysis.

PURPOSE: MR image quality and subsequent brain morphometric analysis are inevitably affected by nois...

Emergence of flexible technology in developing advanced systems for post-stroke rehabilitation: a comprehensive review.

Stroke is one of the most common neural disorders, which causes physical disabilities and motor impa...