Hospital-Based Medicine

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

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Comparative Analysis of Laparoscopic and Robotic Transperitoneal Adrenalectomy Performed at a Single Institution.

Background and Objectives: Laparoscopic adrenalectomy (LA) is the standard surgical approach for adr...

Efficacy and Safety of the "Trisection Method" Training System for Robot-Assisted Radical Cystectomy at a Single Institution in Japan.

To maintain a surgeon's concentration, reduce fatigue, and train young surgeons, surgical procedures...

Medial versus lateral camera port placement for robotic nephron-sparing surgery: evaluating surgical complications and outcomes.

As the growing popularity of robotic-assisted laparoscopic procedures for the treatment of renal can...

Surgeon experience, robotic perioperative outcomes, and complications in gynecology.

OBJECTIVE: Robotic surgery is currently on the rise and has been widely applied all over the world. ...

Multidisciplinary perceptions on robotic surgical training: the robot is a stimulus for surgical education change.

BACKGROUND: It is unclear how to best establish successful robotic training programs or if subspecia...

A PROMETHEE based outranking approach for the construction of Fangcang shelter hospital using spherical fuzzy sets.

This study mainly aims to develop two effective and practical multi-criteria group decision-making a...

A Pilot Machine Learning Study Using Trauma Admission Data to Identify Risk for High Length of Stay.

INTRODUCTION: Trauma patients have diverse resource needs due to variable mechanisms and injury patt...

Robot-assisted duodenal switch with DaVinci Xi: surgical technique and analysis of a single-institution experience of 661 cases.

Metabolic and bariatric surgery is an effective treatment for the management of obesity and related ...

Application of classical and novel integrated machine learning models to predict sediment discharge during free-flow flushing.

In this study, the capabilities of classical and novel integrated machine learning models were inves...

A propensity score matching study of totally robotic right hemicolectomy versus robot-assisted right hemicolectomy.

To compare and analyze the differences in safety, feasibility and short-term efficacy between robot-...

Robotic surgery in Hirschsprung disease: a unicentric experience on 31 procedures.

Robotic surgery has been increasingly applied to Hirschsprung patients with encouraging results. We ...

Long-term comparative outcome analysis of a robot-assisted laparoscopic prostatectomy with retropubic radical prostatectomy by a single surgeon.

We aimed to report a comprehensive outcome analysis of robot-assisted laparoscopic prostatectomies (...

Predicting risk of sepsis, comparison between machine learning methods: a case study of a Virginia hospital.

Sepsis is an inflammation caused by the body's systemic response to an infection. The infection coul...

Early prediction of patient discharge disposition in acute neurological care using machine learning.

BACKGROUND: Acute neurological complications are some of the leading causes of death and disability ...

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