Hospital-Based Medicine

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

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Robotic versus open approach in total gastrectomy for gastric cancer: a comparative single-center study of perioperative outcomes.

The robotic approach to gastric cancer has been gaining interest in recent years; however, its benef...

A Hybrid Stacked CNN and Residual Feedback GMDH-LSTM Deep Learning Model for Stroke Prediction Applied on Mobile AI Smart Hospital Platform.

Artificial intelligence (AI) techniques for intelligent mobile computing in healthcare has opened up...

Predicting heart failure in-hospital mortality by integrating longitudinal and category data in electronic health records.

Heart failure is a life-threatening syndrome that is diagnosed in 3.6 million people worldwide each ...

Confused or not: decoding brain activity and recognizing confusion in reasoning learning using EEG.

Confusion is the primary epistemic emotion in the learning process, influencing students' engagement...

Same-day discharge robot-assisted laparoscopic prostatectomy: feasibility, safety and patient experience.

OBJECTIVES: To report a single centre's experience of the feasibility, safety and patient acceptabil...

Self-Supervised Graph Learning With Hyperbolic Embedding for Temporal Health Event Prediction.

Electronic health records (EHRs) have been heavily used in modern healthcare systems for recording p...

The use of smart environments and robots for infection prevention control: A systematic literature review.

BACKGROUND: Infection prevention and control (IPC) is essential to prevent nosocomial infections. Th...

Facial reconstruction using 3-D computerized method: A scoping review of Methods, current Status, and future developments.

Facial reconstruction (otherwise known as facial approximation) is an alternative method that has be...

Initial Experience of Robot-Assisted Transabdominal Preperitoneal (TAPP) Inguinal Hernia Repair by a Single Surgeon in South Korea.

: Inguinal hernia is a common surgical disease. Traditional open herniorrhaphy has been replaced by ...

Automated prediction of COVID-19 severity upon admission by chest X-ray images and clinical metadata aiming at accuracy and explainability.

In the past few years COVID-19 posed a huge threat to healthcare systems around the world. One of th...

Incorporating algorithmic uncertainty into a clinical machine deep learning algorithm for urgent head CTs.

Machine learning (ML) algorithms to detect critical findings on head CTs may expedite patient manage...

Comparison between robot-assisted versus open nephroureterectomy for upper tract urothelial carcinoma: outcomes from a pooled analysis.

The present study aimed to compare the efficacy and safety between robot-assisted nephroureterectomy...

Science fiction or clinical reality: a review of the applications of artificial intelligence along the continuum of trauma care.

Artificial intelligence (AI) and machine learning describe a broad range of algorithm types that can...

Urgent Combination of Robotic and MIDCAB Coronary Revascularization in a Morbidly Obese Patient.

In this article, we focus on the important role of robot-assisted coronary surgery by reporting the ...

Hospital-wide survey of clinical experience with artificial intelligence applied to daily chest radiographs.

PURPOSE: To assess experience with and perceptions of clinical application of artificial intelligenc...

Implementation of an Environmental Cleaning Protocol in Hospital Critical Areas Using a UV-C Disinfection Robot.

Improving the cleaning and disinfection of high-touch surfaces is one of the core components of redu...

Dynamic risk assessment of hospital oxygen supply system by HAZOP and intuitionistic fuzzy.

Events such as oxygen leakage in the oxygen generation systems can have severe consequences, such as...

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