Infection Control

From an On-site Program to a Mobile App for Prehabilitation and Rehabilitation for Robotic Radical Prostatectomy: Lessons Learned from 5 Years of Experience, the COVID-19 Outbreak, and Comparison with Nationwide Data.

Prehabilitation programs play a key role in optimizing patient experiences and outcomes after surgery. However, there are few data on robot-assisted radical prostatectomy, and prehabilitation programs may be challenging to launch and maintain over time for every patient. Here we report our 5-yr experience of an on-site prehabilitation program and its impact on patient and hospital outcomes. During...

Performance of a multidisciplinary robotic surgery program at a university hospital (2012-2022).

Robotic-assisted surgery has become widely adopted for its ability to expand the indications for minimally invasive procedures. This technology aims to improve precision, accuracy, and outcomes while reducing complications, blood loss, and recovery time. Successful implementation of a robotic surgery program requires careful initial design and a focus on maintenance and expansion to maximize its b...

Comparison of effectiveness and safety of Da Vinci robot's "3 + 1" and "4 + 1" modes of treatment for colorectal cancer.

To compare the effectiveness of the Da Vinci Surgical Robot System (DSRS) "3 + 1" and "4 + 1" models for colorectal cancer (CRC). A total of 107 patie...

Tele-robotic distal gastrectomy with lymph node dissection on a cadaver.

The purpose of this study is to evaluate the performance of tele-robotic distal gastrectomy (tele-RDG) with lymph node dissection (LND) using a novel ...

Impact of Iron Supplementation on Hospital Length of Stay for Pneumonia or Skin and Skin Structure Infections: A Retrospective Cohort Study.

Pathogenic organisms utilize iron to survive and replicate and have evolved many processes to extract iron from human hosts. The goal of this study w...

OCT-based deep-learning models for the identification of retinal key signs.

A new system based on binary Deep Learning (DL) convolutional neural networks has been developed to recognize specific retinal abnormality signs on Op...

Efficacy and safety of robot-assisted versus fluoroscopy-assisted PKP or PVP for osteoporotic vertebral compression fractures: a systematic review and meta-analysis.

Percutaneous vertebral augmentation (PVA), which includes percutaneous kyphoplasty (PKP) and percutaneous vertebroplasty (PVP). Robot-assisted (RA) an...

Exploring intelligent hospital management mode based on artificial intelligence.

OBJECTIVE: To address the challenges posed by the COVID-19 pandemic, our hospital developed an intelligent hospital management mode specifically tailo...

A novel neural network for improved in-hospital mortality prediction with irregular and incomplete multivariate data.

Accurate estimation of in-hospital mortality based on patients' physiological time series data improves the performance of the clinical decision suppo...

Optical Coherence Tomography Image Classification Using Hybrid Deep Learning and Ant Colony Optimization.

Optical coherence tomography (OCT) is widely used to detect and classify retinal diseases. However, OCT-image-based manual detection by ophthalmologis...

Systematic review: robot-assisted versus conventional laparoscopic multiport cholecystectomy.

Laparoscopic cholecystectomy has become the standard of care for the treatment of symptomatic gallstone disease. In the context of the increasing upta...

The safe introduction of robotic surgery in a free-standing children's hospital.

The aim of this study is to report the experience of implementing a pediatric robotic surgery program at a free-standing pediatric teaching hospital. ...

Artificial Intelligence and Big Data Technologies in the Construction of Surgical Risk Prediction Model for Patients with Coronary Artery Bypass Grafting.

The objective of this work was to predict the risk of mortality rate in patients with coronary artery bypass grafting (CABG) based on the risk predict...

Infection diagnosis in hydrocephalus CT images: a domain enriched attention learning approach.

. Hydrocephalus is the leading indication for pediatric neurosurgical care worldwide. Identification of postinfectious hydrocephalus (PIH) verses non-...

LGTRL-DE: Local and Global Temporal Representation Learning with Demographic Embedding for in-hospital mortality prediction.

Predicting the patient's in-hospital mortality from the historical Electronic Medical Records (EMRs) can assist physicians to make clinical decisions ...

Explainable COVID-19 Detection Based on Chest X-rays Using an End-to-End RegNet Architecture.

COVID-19,which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is one of the worst pandemics in recent history. The ide...

Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii.

Acinetobacter baumannii is a nosocomial Gram-negative pathogen that often displays multidrug resistance. Discovering new antibiotics against A. bauman...

Evaluation of cancer drug infusion devices prior to the implementation of a compounding robot.

INTRODUCTION: Compounding robots are increasingly being implemented in hospital pharmacies. In our hospital, the recent acquisition of a robot (RIVA, ...

Outcome-Supervised Deep Learning on Pathologic Whole Slide Images for Survival Prediction of Immunotherapy in Patients with Non-Small Cell Lung Cancer.

Although programmed death-(ligand) 1 (PD-(L)1) inhibitors are marked by durable efficacy in patients with non-small cell lung cancer (NSCLC), approxim...

Machine Learning Model for Assessment of Risk Factors and Postoperative Day for Superficial vs Deep/Organ-Space Surgical Site Infections.

Deep and organ space surgical site infections (SSI) require more intensive treatment, may result in more severe clinical disease and may have differe...