Hospital-Based Medicine

Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer metastases.

Liver cancers are the fourth leading cause of cancer-related mortality worldwide. In the past decade...

Robotic Single-Site Hysterectomy in Gynecologic Benign Pathology: A Systematic Review of the Literature.

Total hysterectomy is one of the most common gynecologic surgical procedures and it is mainly perfo...

Improving Intensive Care Unit Early Readmission Prediction Using Optimized and Explainable Machine Learning.

It is of great interest to develop and introduce new techniques to automatically and efficiently ana...

Soft robot-enabled controlled release of oral drug formulations.

The creation of highly effective oral drug delivery systems (ODDSs) has long been the main objective...

Comparison of oncological and functional outcomes of perineoscopic radical prostatectomy and robot-assisted radical prostatectomy.

The aim of this study is to compare the functional, oncological, and complication outcomes of perine...

Learning curves and perioperative outcomes of single-incision robotic sacrocolpopexy on two different da Vinci surgical systems.

This study aimed to report a single surgeon's early experience and learning curves of single-incisio...

Modeling acute care utilization: practical implications for insomnia patients.

Machine learning models can help improve health care services. However, they need to be practical to...

Integration of artificial intelligence in lung cancer: Rise of the machine.

The goal of oncology is to provide the longest possible survival outcomes with the therapeutics that...

Early relaparotomy following pediatric living-donor liver transplantation: experience in an Indonesian national referral hospital.

BACKGROUND: Living donor liver transplantation (LDLT) remains the only curative treatment for childr...

The use of machine learning and deep learning techniques to assess proprioceptive impairments of the upper limb after stroke.

BACKGROUND: Robots can generate rich kinematic datasets that have the potential to provide far more ...

Revising human-systems engineering principles for embedded AI applications.

The recent shift from predominantly hardware-based systems in complex settings to systems that heavi...

ASO Author Reflections: Robotic Transabdominal Approach for Gastroesophageal Junction Cancers in the Era of Multidisciplinary Treatment.

Adverse Events and Morbidity in a Multidisciplinary Pediatric Robotic Surgery Program. A prospective, Observational Study.

OBJECTIVE: To report one-year morbidity of robotic-assisted laparoscopic surgery (RALS) in a dedicat...

Dynamic predictions of postoperative complications from explainable, uncertainty-aware, and multi-task deep neural networks.

Accurate prediction of postoperative complications can inform shared decisions regarding prognosis, ...

XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department.

Nowadays it is increasingly important in many applications to understand how different factors influ...

Machine Learning Models for Predicting the Outcomes of Surgical Treatment of Colorectal Liver Metastases.

BACKGROUND: Surgical intervention remains the cornerstone of a multidisciplinary approach in the tre...

Knowledge Graph Embeddings for ICU readmission prediction.

BACKGROUND: Intensive Care Unit (ICU) readmissions represent both a health risk for patients,with in...

Application of robot-assisted endoscopic technique in the treatment of patent ductus arteriosus in 106 children.

The objective is to evaluate and apply the robot-assisted endoscopic surgical technique for treatmen...

Same day discharge for robot-assisted radical prostatectomy: a prospective cohort study documenting an Australian approach.

BACKGROUND: The introduction of robotic surgical systems has significantly impacted urological surge...

Robot-assisted complex urinary tract reconstruction using intestinal segments: redefining the paradigm.

Complex urinary tract reconstruction has significantly advanced with the increasing use of robot-ass...

Hospital crowdedness evaluation and in-hospital resource allocation based on image recognition technology.

How to allocate the existing medical resources reasonably, alleviate hospital congestion and improve...