Hospital-Based Medicine

Latest AI and machine learning research in hospital-based medicine for healthcare professionals.

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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...

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...

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 me...

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 o...

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 an...

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 ...

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 ...

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 r...

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 ser...

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 ...

Explanation of machine learning models using shapley additive explanation and application for real data in hospital.

BACKGROUND AND OBJECTIVE: When using machine learning techniques in decision-making processes, the i...

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 ...

Process performance of a new liquid medication dispensing robot.

OBJECTIVES: Liquid medications provide an alternative to splitting pills and dosages by measuring an...

Machine Learning-Based HIV Risk Estimation Using Incidence Rate Ratios.

HIV/AIDS is an ongoing global pandemic, with an estimated 39 million infected worldwide. Early detec...

Application of Deep Learning Technology in Predicting the Risk of Inpatient Death in Intensive Care Unit.

The Intensive Care Unit (ICU) is an important unit for the rescue of critically ill patients in hosp...

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