Staffing & Scheduling

Is a Fundamental Design Change for Gastrointestinal Endoscopes Required?

Since the first fiberoptic instruments, gastrointestinal endoscopy has shaped the field of gastroent...

[Clinical Course and Treatment of Acute Urinary Retention after Robot- Assisted Laparoscopic Radical Prostatectomy : A Single Institution Experience of 11 Cases].

Robot-assisted laparoscopic radical prostatectomy (RARP) is becoming the standard treatment procedur...

Chronic kidney disease in Hepatitis C and its association with liver cirrhosis and viral load: Revealing the importance of hematuria.

Hepatitis C virus (HCV) contributed as a risk factor for chronic kidney disease (CKD). Many studies ...

[Screening and quantitative analysis of nine illicit antiallergics in emulsion cosmetics by ultra-high performance liquid chromatography-quadrupole-time-of-flight high-resolution mass spectrometry].

A rapid and accurate analysis method based on ultra-high performance liquid chromatography coupled w...

[Application of artificial intelligence in prevention and control of COVID-19 in Guangzhou city].

Since the outbreak of COVID-19, it has spread rapidly throughout the country and even in the world. ...

Robot-assisted minimally invasive thoracolaparoscopic esophagectomy versus open esophagectomy: long-term follow-up of a randomized clinical trial.

Initial results of the ROBOT, which randomized between robot-assisted minimally invasive esophagecto...

[Determination of -nitrosodimethylamine in metformin hydrochloride and its preparations by high performance liquid chromatography-tandem mass spectrometry].

A method was established for the determination of -nitrosodimethylamine (NDMA) in metformin hydrochl...

Workflow Applications of Artificial Intelligence in Radiology and an Overview of Available Tools.

In the past decade, there has been tremendous interest in applying artificial intelligence (AI) to i...

Smart Work Injury Management (SWIM) System: Artificial Intelligence in Work Disability Management.

PURPOSE: This paper aims to illustrate an example of how to set up a work injury database: the Smart...

Patient-Specific Robot-Assisted Stroke Rehabilitation Guided by EEG - A Feasibility Study.

Multi-session robot-assisted stroke rehabilitation program requires patients to perform repetitive t...

A real-time fuzzy logic biofeedback controller for freestyle swimming body posture adjustment.

Wearable body area networks (BANs) have been widely used in activity measurements for kinematic info...

Subject-specific, Impairment-based Robotic Training of Functional Upper Limb Movements.

Significant hand and upper-limb impairment is common post-stroke. Robotic training can administer a ...

Effects of trunk stabilization training robot on postural control and gait in patients with chronic stroke: a randomized controlled trial.

Our study aimed to confirm the therapeutic effects of using a trunk stabilization training robot (3D...

Artificial Intelligence Pertaining to Cardiothoracic Imaging and Patient Care: Beyond Image Interpretation.

Artificial intelligence (AI) is a broad field of computational science that includes many subsets. T...

Distinct subtypes of inhibitory interneurons differentially promote the propagation of rate and temporal codes in the feedforward neural network.

Sensory information is believed to be encoded in neuronal spikes using two different neural codes, t...

From development to deployment: dataset shift, causality, and shift-stable models in health AI.

Machine Learning and Medical Appointment Scheduling: Creating and Perpetuating Inequalities in Access to Health Care.

The reactome pathway knowledgebase.

The Reactome Knowledgebase (https://reactome.org) provides molecular details of signal transduction,...

Artificial Intelligence Forecasting Census and Supporting Early Decisions.

Matching resources to demand is a daily challenge for hospital leadership. In interdisciplinary coll...

Knowledge Discovery With Machine Learning for Hospital-Acquired Catheter-Associated Urinary Tract Infections.

Massive generation of health-related data has been key in enabling the big data science initiative t...

Machine Learning for Phone-Based Relationship Estimation: The Need to Consider Population Heterogeneity.

Estimating the category and quality of interpersonal relationships from ubiquitous phone sensor data...