Hospital-Based Medicine

Evaluation of shape factor impact on discharge coefficient of side orifices using boost simulation model with extreme learning machine data-driven.

In this paper, for the first time, the impact of the shape factor on the discharge coefficient of side orifices is evaluated using the novel Extreme Learning Machine (ELM) model. In addition, the Monte Carlo simulations (MCs) are applied to assess the accuracy of the modelling. Furthermore, the validation is conducted by means of the k-fold cross-validation approach (with k = 5). In other words, t...

Predicting SARS-CoV-2 infection duration at hospital admission:a deep learning solution.

COVID-19 cases are increasing around the globe with almost 5 million of deaths. We propose here a deep learning model capable of predicting the duration of the infection by means of information available at hospital admission. A total of 222 patients were enrolled in our observational study. Anagraphical and anamnestic data, COVID-19 signs and symptoms, COVID-19 therapy, hematochemical test result...

Unstructured clinical notes within the 24 hours since admission predict short, mid & long-term mortality in adult ICU patients.

Mortality prediction for intensive care unit (ICU) patients is crucial for improving outcomes and efficient utilization of resources. Accessibility of...

Point-of-care screening for heart failure with reduced ejection fraction using artificial intelligence during ECG-enabled stethoscope examination in London, UK: a prospective, observational, multicentre study.

BACKGROUND: Most patients who have heart failure with a reduced ejection fraction, when left ventricular ejection fraction (LVEF) is 40% or lower, are...

The concept of the invisible radiologist in the era of artificial intelligence.

The radiologists were traditionally working in the background. What upgraded them as physicians during the second half of the past century was their c...

Minimally invasive hysterectomy for benign indications-surgical volume matters: a retrospective cohort study comparing complications of robotic-assisted and conventional laparoscopic hysterectomies.

The objective of this study was to evaluate the incidence of perioperative complications in robotic-assisted hysterectomies performed by high-volume r...

Assessment of a hybrid decision support system using machine learning with artificial intelligence to safely rule out prescriptions from medication review in daily practice.

Background Medication review is time-consuming and not exhaustive in most French hospitals. We routinely use an innovative hybrid decision support sys...

Successful Multidisciplinary Repair of Severe Bilateral Uretero-Enteric Stricture with Inflammatory Reaction Extending to the Left Iliac Artery, after Robotic Radical Cystectomy and Intracorporeal Ileal Neobladder.

Uretero-enteric anastomotic strictures (UES) after robot-assisted radical cystectomy (RARC) represent the main cause of post-operative renal dysfuncti...

Comparison of Higher-Than-Standard to D-Dimer Driven Thromboprophylaxis in Hospitalized Patients With COVID-19.

Coronavirus disease 2019 is a global health threat often accompanied with coagulopathy. Despite use of thromboprophylaxis in this population, thrombo...

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) clinical trajectories. We hypothesized that physiolo...

Clinical implications of the newly defined concept of ventilator-associated events in trauma patients.

PURPOSE: Ventilator-associated pneumonia is the most common nosocomial infection in patients with mechanical ventilation. In 2013, the new concept of ...

Development of a prediction score for in-hospital mortality in COVID-19 patients with acute kidney injury: a machine learning approach.

Acute kidney injury (AKI) is frequently associated with COVID-19 and it is considered an indicator of disease severity. This study aimed to develop a ...

Outcomes of Robot-Assisted Laparoscopic Isthmus Division Using Endoscopic Transection Equipment in the Treatment of Symptomatic Horseshoe Kidney.

The surgical treatment of horseshoe kidney (HSK) remains a huge challenge because of the complex anatomy and abnormal blood vessel distribution. Ther...

Evaluation of Glucocorticoid Therapy in Asthma Children with Small Airway Obstruction Based on CT Features of Deep Learning.

This study was aimed at exploring the treatment of asthma children with small airway obstruction in CT imaging features of deep learning and glucocort...

Diagnostic Value of SonoVue Contrast-Enhanced Ultrasonography in Nipple Discharge Based on Artificial Intelligence.

This paper aims to explore the application value of SonoVue contrast-enhanced ultrasonography based on deep unsupervised learning (DNS) in the diagnos...

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 Promotion Program (SIP) "Innovative AI Hospital System"...

The sustainability of upper limb robotic therapy for stroke survivors in an inpatient rehabilitation setting.

PURPOSE: To investigate the sustainability of Robot-assisted upper limb therapy (RT-UL) as part of routine occupational therapy and physiotherapy clin...

Ureteral Reimplantation for Primary Obstructive Megaureter in Pediatric Patients: Is It Time for Robot-Assisted Approach?

To compare open and robotic approach for treatment of Primary Obstructive Megaureter (POM) in a series of pediatric patients. Medical records of all...

Robotic Versus Laparoscopic Surgery for Rectal Cancer: A Comprehensive Review of Oncological Outcomes.

The treatment of rectal cancer is complex and involves specialized multidisciplinary care, although the tenet is still rooted in a high-quality total ...

Deep-Learning Approach to Predict Survival Outcomes Using Wearable Actigraphy Device Among End-Stage Cancer Patients.

Survival prediction is highly valued in end-of-life care clinical practice, and patient performance status evaluation stands as a predominant componen...