Infection Control

Evaluating the safety and patient impacts of an artificial intelligence command centre in acute hospital care: a mixed-methods protocol.

INTRODUCTION: This paper presents a mixed-methods study protocol that will be used to evaluate a rec...

Accuracy and Security Analysis of a Cranio-Maxillofacial Plastic Surgery Robot Equipped With Piezosurgery in Genioplasty.

This study aims to verify that the craniofacial plastic surgery robot with piezosurgery is more accu...

Comparative analysis of explainable machine learning prediction models for hospital mortality.

BACKGROUND: Machine learning (ML) holds the promise of becoming an essential tool for utilising the ...

Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study.

OBJECTIVE: To create and validate a simple and transferable machine learning model from electronic h...

Deep learning models for triaging hospital head MRI examinations.

The growing demand for head magnetic resonance imaging (MRI) examinations, along with a global short...

Safety of robot-assisted radical prostatectomy in an Italian spoke hospital: Long-term oncologic and functional outcomes with median 11.3 years follow-up.

INTRODUCTION: Robot-assisted radical prostatectomy (RARP) long-term oncologic outcomes were publishe...

Digital Health Policy and Programs for Hospital Care in Vietnam: Scoping Review.

BACKGROUND: There are a host of emergent technologies with the potential to improve hospital care in...

Robot-Assisted Simple Prostatectomy Endoscopic Enucleation of the Prostate: A Systematic Review and Meta-Analysis of Comparative Trials.

Robot-assisted simple prostatectomy (RASP) and endoscopic enucleation of the prostate (EEP) are two...

Surgical Complications and Hospital Costs in Robot-Assisted Versus Conventional Laparoscopic Hysterectomy With Concurrent Sacrocolpopexy: Analysis of the Nationwide Readmissions Database.

OBJECTIVES: Despite increasing use of robotic technology for minimally invasive hysterectomy with sa...

Upper or lower tract approach for duplex anomalies? A bi-institutional comparative analysis of robot-assisted approaches.

Optimal management of duplication anomalies may include an upper or lower tract surgical approach. I...

Anemia or other comorbidities? using machine learning to reveal deeper insights into the drivers of acute coronary syndromes in hospital admitted patients.

Acute coronary syndromes (ACS) are a leading cause of deaths worldwide, yet the diagnosis and treatm...

Improving the In-Hospital Mortality Prediction of Diabetes ICU Patients Using a Process Mining/Deep Learning Architecture.

Diabetes intensive care unit (ICU) patients are at increased risk of complications leading to in-hos...

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...

Machine Learning-Based Mortality Prediction of Patients at Risk During Hospital Admission.

OBJECTIVES: The ability to predict in-hospital mortality from data available at hospital admission w...

An explainable machine learning framework for lung cancer hospital length of stay prediction.

This work introduces a predictive Length of Stay (LOS) framework for lung cancer patients using mach...

Prediction of Lung Infection during Palliative Chemotherapy of Lung Cancer Based on Artificial Neural Network.

Lung infection seriously affects the effect of chemotherapy in patients with lung cancer and increas...

Application of the QFD-fuzzy-SERVQUAL methodology as a quality planning tool at the surgical centre of a public teaching hospital.

BACKGROUND: In Brazil, many public hospitals face constant problems related to high demand vis-à-vis...

A 12-hospital prospective evaluation of a clinical decision support prognostic algorithm based on logistic regression as a form of machine learning to facilitate decision making for patients with suspected COVID-19.

OBJECTIVE: To prospectively evaluate a logistic regression-based machine learning (ML) prognostic al...

Japanese Cross-ministerial Strategic Innovation Promotion Program "Innovative AI Hospital System"; How Will the 4th Industrial Revolution Affect Our Health and Medical Care System?

I introduce here what we have been and are doing in the Cross-ministerial Strategic Innovation Promo...

Re: Clinical evaluation of a deep-learning-based computer-aided detection system for the detection of pulmonary nodules in a large teaching hospital. A reply.

Re: Clinical evaluation of a deep-learning-based computer-aided detection system for the detection of pulmonary nodules in a large teaching hospital.