Latest AI and machine learning research in surgery for healthcare professionals.
The cumulative sum (CUSUM) approach has been adopted to evaluate surgical competence in various con...
To compare short- and midterm outcomes of the first 55 patients undergoing robot-assisted kidney tr...
BACKGROUND: Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major complication that re...
Opioids play a critical role in acute postoperative pain management. Our objective was to develop ma...
The EAU guidelines panel on muscle-invasive and metastatic bladder cancer (MIBC) recently recommende...
BACKGROUND: Sarcopenia, a syndrome characterized by the loss of skeletal muscle mass, has attracted ...
PURPOSE: Robot-world calibration, used to precisely determine the spatial relation between optical t...
BACKGROUND: Robot-assisted partial nephrectomy (RAPN) has become widely accepted, but its different ...
AIM: Our aim was to compare the long-term anatomical outcomes between robot-assisted ventral mesh re...
BACKGROUND: Sigmoid resection in diverticulitis is one of the most frequently performed colonic oper...
Artificial intelligence (AI) is gradually changing the practice of surgery with technological advanc...
BACKGROUND: Most currently used surgical robots have no force feedback; the next generation displays...
BACKGROUND: Machine learning has emerged as a viable asset in the setting of pituitary surgery. In t...
BACKGROUND: 5G communication technology has been applied to several fields in telemedicine, but its ...
Laparoscopic partial nephrectomy (LPN) and robot-assisted partial nephrectomy (RAPN) are commonly u...
Glioblastoma is the most common malignant brain parenchymal tumor yet remains challenging to treat. ...
We sought to compare the outcomes of patients who underwent an open robotic ureteroneocystostomy f...
BACKGROUND: We tested the added value of 3D-vision on procedure time and surgical performance during...
BACKGROUND: Pelvic exenteration remains a viable and effective treatment option for the management o...
Possessing the attributes of high adaptability and low cost, soft robotic individuals can further co...
BACKGROUND: This study aimed to establish and validate a machine learning-based model for the predic...