Hospital-Based Medicine

Minimally invasive approach (robotic and laparoscopic) to biliary-enteric fistula secondary to cholecystectomy bile duct injury.

Spontaneous biliary-enteric fistula after laparoscopic cholecystectomy bile duct injury is an extremely rare entity. Y-en-Roux hepaticojejunostomy has been demonstrated to be an effective surgical technique to repair iatrogenic bile duct injuries. Seven consecutive patients underwent robotic-assisted (n = 5) and laparoscopic (n = 2) biliary-enteric fistula resection and bile duct repair at our hos...

Automated tongue diagnosis on the smartphone and its applications.

Tongue features are important objective basis for clinical diagnosis and treatment in both western medicine and Chinese medicine. The need for continuous monitoring of health conditions inspires us to develop an automatic tongue diagnosis system based on built-in sensors of smartphones. However, tongue images taken by smartphone are quite different in color due to various lighting conditions, and ...

Mild troponin elevation in patients admitted to the emergency department with atrial fibrillation: 30-day post-discharge prognostic significance.

Patients with atrial fibrillation (AF) often undergo troponin (Tn) testing in the emergency department (ED), but the clinical significance of mildly e...

B-Type Natriuretic Peptide: A Predictor for Mortality, Intensive Care Unit Length of Stay, and Hospital Length of Stay in Patients With Resolving Sepsis.

BACKGROUND: B-type natriuretic peptide (BNP) is a hormone secreted by cardiomyocytes in response to myocardial ischemia, increased ventricular wall te...

New, Immunomodulatory, Oral Nutrition Formula for Use Prior to Surgery in Patients With Head and Neck Cancer: An Exploratory Study.

BACKGROUND: The perioperative use of immunomodulatory nutrition formulas in patients with head and neck cancer reduces the number of postoperative inf...

Behind the scenes: A medical natural language processing project.

Advancement of Artificial Intelligence (AI) capabilities in medicine can help address many pressing problems in healthcare. However, AI research endea...

Can a standardised Ventilation Mechanical Test for quantitative intraoperative air leak grading reduce the length of hospital stay after video-assisted thoracoscopic surgery lobectomy?

We standardised a Ventilation Mechanical Test (VMT) after video-assisted thoracoscopic surgery (VATS) lobectomy that classifies intraoperative alveola...

Determination of nitrite in water samples using atmospheric pressure glow discharge microplasma emission and chemical vapor generation of NO species.

In this work, a low-power (<25 W), portable direct current (dc) atmospheric pressure glow discharge microplasma (4 mm × 10  mm) molecular emission spe...

Developing a Machine Learning System for Identification of Severe Hand, Foot, and Mouth Disease from Electronic Medical Record Data.

Children of severe hand, foot, and mouth disease (HFMD) often present with same clinical features as those of mild HFMD during the early stage, yet la...

Classification of hospital admissions into emergency and elective care: a machine learning approach.

Rising admissions from emergency departments (EDs) to hospitals are a primary concern for many healthcare systems. The issue of how to differentiate u...

Endothelial markers in high altitude induced systemic hypertension (HASH) at moderate high altitude.

BACKGROUND: Chronic intermittent hypoxia is known to induce systemic arterial hypertension whereas chronic hypoxia causes pulmonary arterial hypertens...

Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial.

INTRODUCTION: Several methods have been developed to electronically monitor patients for severe sepsis, but few provide predictive capabilities to ena...

Artificial Intelligence Learning Semantics via External Resources for Classifying Diagnosis Codes in Discharge Notes.

BACKGROUND: Automated disease code classification using free-text medical information is important for public health surveillance. However, traditiona...

Deployment of a touchless ultraviolet light robot for terminal room disinfection: The importance of audit and feedback.

Touchless ultraviolet disinfection (UVD) devices effectively reduce the bioburden of epidemiologically relevant pathogens, including Clostridium diffi...

Reducing patient mortality, length of stay and readmissions through machine learning-based sepsis prediction in the emergency department, intensive care unit and hospital floor units.

INTRODUCTION: Sepsis management is a challenge for hospitals nationwide, as severe sepsis carries high mortality rates and costs the US healthcare sys...

Occurrence and characteristics of extended-spectrum β-lactamase- and carbapenemase- producing bacteria from hospital effluents in Singapore.

One of the most important resistance mechanisms in Gram-negative bacteria today is the production of enzymes causing resistance to cephalosporin and c...

Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.

BACKGROUND: Mortality prediction of hospitalized patients is an important problem. Over the past few decades, several severity scoring systems and mac...

Dose-Dependent Effects of Common Antibiotics Used to Treat on Biofilm Formation.

BACKGROUND & OBJECTIVE: especially methicillin-resistant (MRSA), represent serious nosocomial and community infections. Biofilm formation as an impo...

Protracted severe systemic cytomegalovirus disease in an immunosuppressed patient with ulcerative colitis.

A 33-year-old man with ulcerative colitis presented with 5-day history of fever, night sweats, abdominal pain and increased stool frequency. He was on...

Artificial neural network coding of the child attachment interview using linguistic data.

Assessing attachment in adolescents is important due to relations between insecurity and psychopathology. The child attachment interview (CAI) holds p...