Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
This study aims to assess the efficacy and safety of robot-assisted partial nephrectomy (RAPN) compa...
Machine learning (ML) algorithms to detect critical findings on head CTs may expedite patient manage...
The present study aimed to compare the efficacy and safety between robot-assisted nephroureterectomy...
Artificial intelligence (AI) and machine learning describe a broad range of algorithm types that can...
OBJECTIVES: To quantitatively analyse by artificial intelligence (AI) the communication skills of ph...
Liver cancers are the fourth leading cause of cancer-related mortality worldwide. In the past decade...
Total hysterectomy is one of the most common gynecologic surgical procedures and it is mainly perfo...
It is of great interest to develop and introduce new techniques to automatically and efficiently ana...
The aim of this study is to compare the functional, oncological, and complication outcomes of perine...
This study aimed to report a single surgeon's early experience and learning curves of single-incisio...
Machine learning models can help improve health care services. However, they need to be practical to...
The goal of oncology is to provide the longest possible survival outcomes with the therapeutics that...
BACKGROUND: Robots can generate rich kinematic datasets that have the potential to provide far more ...
OBJECTIVE: To report one-year morbidity of robotic-assisted laparoscopic surgery (RALS) in a dedicat...
Accurate prediction of postoperative complications can inform shared decisions regarding prognosis, ...
BACKGROUND: Surgical intervention remains the cornerstone of a multidisciplinary approach in the tre...
BACKGROUND: Intensive Care Unit (ICU) readmissions represent both a health risk for patients,with in...
The objective is to evaluate and apply the robot-assisted endoscopic surgical technique for treatmen...
BACKGROUND: The introduction of robotic surgical systems has significantly impacted urological surge...
Complex urinary tract reconstruction has significantly advanced with the increasing use of robot-ass...
How to allocate the existing medical resources reasonably, alleviate hospital congestion and improve...