Infection Control

Rapid SARS-CoV-2 Inactivation in a Simulated Hospital Room Using a Mobile and Autonomous Robot Emitting Ultraviolet-C Light.

The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) since 2019 has made mask-...

Comparison of Machine Learning Methods for Predicting Outcomes After In-Hospital Cardiac Arrest.

OBJECTIVES: Prognostication of neurologic status among survivors of in-hospital cardiac arrests rema...

Artificial intelligence guided predicting the length of hospital-stay in a neurosurgical hospital based on the text data of electronic medical records.

BACKGROUND: Rational use of internal resources of hospitals including bed fund turnover is important...

Development and validation of an artificial neural network algorithm to predict mortality and admission to hospital for heart failure after myocardial infarction: a nationwide population-based study.

BACKGROUND: Patients have an estimated mortality of 15-20% within the first year following myocardia...

[A Thyroid Ultrasound Image-based Artificial Intelligence Model for Diagnosis of Central Compartment Lymph Node Metastasis in Papillary Thyroid Carcinoma].

Objective To establish an artificial intelligence model based on B-mode thyroid ultrasound images to...

[Segmentation method of myocardial perfusion bull-eye for the degree of loss of cardiac ischemia].

As one of the non-invasive imaging techniques, myocardial perfusion imaging provides a basis for the...

[Preliminary application of transoral robotic thyroidectomy: experience from an initial 30 cases].

To examine the surgical outcome of transoral robotic thyroidectomy. Clinic data of total 30 cases ...

How Socio-Technical Factors Can Undermine Expectations of Human-Robot Cooperation in Hospitals.

This research analysed human-robot cooperation and interaction in the basement of a Danish hospital,...

[Comparison of single incision robot-assisted laparoscopic radical prostatectomy with and without extraperitoneal special channel device].

To compare the clinical effects of single-incision robot-assisted laparoscopic radical prostatectom...

[Da Vinci robot-assisted pylorus and vagus nerve-preserving partial gastrectomy for gastric cancer].

To investigate the safety and feasibility of Da Vinci robot-assisted pylorus and vagus nerve-preser...

An artificial neural network model to predict the mortality of COVID-19 patients using routine blood samples at the time of hospital admission: Development and validation study.

BACKGROUND:: In a pandemic situation (e.g., COVID-19), the most important issue is to select patient...

The Cost of Robot-assisted Total Hip Arthroplasty: Comparing Safety and Hospital Charges to Conventional Total Hip Arthroplasty.

INTRODUCTION: Utilization of robotic assistance is increasing for total hip arthroplasty (THA). Howe...

Development and validation of a machine learning model predicting illness trajectory and hospital utilization of COVID-19 patients: A nationwide study.

OBJECTIVE: The spread of coronavirus disease 2019 (COVID-19) has led to severe strain on hospital ca...

Improving patient care through the development of a 5G-powered smart hospital.

Predicting in-hospital mortality in ICU patients with sepsis using gradient boosting decision tree.

Sepsis is a leading cause of mortality in the intensive care unit. Early prediction of sepsis can re...

[An evidence-based analysis comparing two approaches of robot-assisted laparoscopic radical prostatectomy: the standard technique and Retzius-sparing technique].

To compare the postoperative outcomes and urinary continence recovery time between standard robotic...

A comparison of general and disease-specific machine learning models for the prediction of unplanned hospital readmissions.

Unplanned hospital readmissions are a burden to patients and increase healthcare costs. A wide varie...

Clinician involvement in research on machine learning-based predictive clinical decision support for the hospital setting: A scoping review.

OBJECTIVE: The study sought to describe the prevalence and nature of clinical expert involvement in ...

Scrub typhus: An under-reported and emerging threat - hospital based study from central and eastern Uttar Pradesh, India.

BACKGROUND & OBJECTIVES: Scrub typhus is a zoonotic rickettsial disease that is transmitted by the b...

Patient satisfaction with a pharmacist-led best possible medication discharge plan via tele-robot in a remote and rural community hospital.

INTRODUCTION: Medication reconciliation (MedRec) reduces the risk of preventable medication-related ...

Deep Learning Analysis in Prediction of COVID-19 Infection Status Using Chest CT Scan Features.

Background and aims Non-contrast chest computed tomography (CT) scanning is one of the important too...