Latest AI and machine learning research in surgery for healthcare professionals.
While laparoscopic simulation-based training is a well-established component of general surgery trai...
Precision and safety are crucial in performing fibula osteotomy during mandibular reconstruction wit...
Proximal gastrectomy (PG) in combination with jejunal pouch interposition is a technique aimed at im...
OBJECTIVE: To examine the short-term outcomes after laparoscopic intraperitoneal onlay mesh (IPOM) c...
We aimed to evaluate the renoprotective effects of remote ischemic preconditioning (RIPC) in patient...
BACKGROUND AND OBJECTIVES: Robot-assisted stereoelectroencephalography (sEEG) is steadily supplantin...
BACKGROUND: Analgesia after robot assisted radical cystectomy aims to reduce postoperative pain and ...
OBJECTIVE: Report the 2-year outcomes of a multicenter randomized controlled trial comparing robotic...
BACKGROUND: Multiport robotic surgery in the retroperitoneum is limited by the bulky robotic frame a...
INTRODUCTION: Chronic inguinal pain or inguinodynia following hernioplasty is a relatively common co...
Perioperative morbidity and mortality are significantly associated with both static and dynamic peri...
Five to 20% of women regret having a tubal ligation. These women are generally otherwise fertile and...
The most common cause of mortality and disability globally right now is cholangiocarcinoma, one of t...
BACKGROUND AND AIM: Morbid obesity is associated with poorer postoperative outcomes in colorectal ca...
Machine learning (ML) models are being actively used in modern medicine, including neurosurgery. Thi...
Urothelial carcinoma (UC) could be observed in urinary bladder (UBUC) and upper urinary tracts (UTUC...
The da Vinci single-port (SP) platform represents the latest innovation in minimally invasive urolo...
Limited evidence exists regarding the value of robot-assisted radical prostatectomy (RARP) in promot...