Latest AI and machine learning research in surgery for healthcare professionals.
Histopathology is the gold standard for disease diagnosis. The use of digital histology on fresh samples can reduce processing time and potential image artifacts, as label-free samples do not need to be fixed nor stained. This fact allows for a faster diagnosis, increasing the speed of the process and the impact on patient prognosis. This work proposes, implements, and validates a novel digital di...
To maintain a surgeon's concentration, reduce fatigue, and train young surgeons, surgical procedures for bladder cancer are divided into the following parts: robot-assisted radical cystectomy (RARC), bowel reconstruction, and totally intracorporeal urinary diversion (ICUD) (RARC+ICUD). Each part is performed by a different surgeon (Trisection method). We retrospectively evaluated the efficacy and ...
Background and Objectives: Laparoscopic adrenalectomy (LA) is the standard surgical approach for adrenalectomy. At present, robotic adrenalectomy (RA)...
As the growing popularity of robotic-assisted laparoscopic procedures for the treatment of renal cancer increases, there exists a variation in surgica...
In the operating theatre, the scrub nurse has a wide range of roles, including responsibility for organising and ensuring that the correct instrumenta...
UNLABELLED: is to create, train, and test the algorithm for the analysis of brain CT text reports using a decision tree model to solve the task of si...
OBJECTIVE: Robotic surgery is currently on the rise and has been widely applied all over the world. Gynecology offers great opportunities for the deve...
We aim to assess the available evidence concerning the robot-assisted repair of cesarean scar defect. A systematic PubMed and Scopus search was conduc...
To test the hypothesis of an association between the American Society of Anesthesiologists (ASA) physical status classification system and the risk of...
BACKGROUND: The KangDuo surgical robot (KD-SR) was recently developed in China.
This study aimed to assess the preliminary outcomes of kinematically aligned robot-assisted total knee arthroplasty (TKA) with patient-specific cartil...
BACKGROUND: The single port surgical robot causes only one incision and brings many benefits to patients. It is very challenging to design a single po...
BACKGROUND: We present the case report of synchronous trans-fascial repair of a large congenital Morgagni hernia (MH) and low anterior resection using...
Mathematical models of human cardiovascular and respiratory systems provide a viable alternative to generate synthetic data to train artificial intell...
INTRODUCTION: Video-based review of surgical procedures has proven to be useful in training by enabling efficiency in the qualitative assessment of su...
Although deep learning (DL) has demonstrated impressive diagnostic performance for a variety of computational pathology tasks, this performance often ...
BACKGROUND: Urinary incontinence is a common postoperative complication of radical prostatectomy (RP). In order to improve postoperative urinary conti...
There has been ongoing discussion regarding the superiority of robotic laparoscopic surgery (RLS) over conventional laparoscopic surgery (CLS) in many...
BACKGROUND: Robotic surgical systems enable surgeons to perform precise movement in the surgical field using high-resolution 3D vision and flexible ro...