Latest AI and machine learning research in surgery for healthcare professionals.
The most common cause of mortality and disability globally right now is cholangiocarcinoma, one of the worst forms of cancer that may affect people. When cholangiocarcinoma develops, the DNA of the bile duct cells is altered. Cholangiocarcinoma claims the lives of about 7000 individuals annually. Women pass away less often than men. Asians have the greatest fatality rate. Following Whites (20%) an...
The capability of a mobile robot to efficiently and safely perform complex missions is limited by its knowledge of the environment, namely the . Advanced reasoning, decision-making, and execution skills enable an intelligent agent to act autonomously in unknown environments. Situational Awareness (SA) is a fundamental capability of humans that has been deeply studied in various fields, such as psy...
BACKGROUND AND AIM: Morbid obesity is associated with poorer postoperative outcomes in colorectal cancer (CRC) patients. We aimed to evaluate short-te...
Machine learning (ML) models are being actively used in modern medicine, including neurosurgery. This study aimed to summarize the current application...
Urothelial carcinoma (UC) could be observed in urinary bladder (UBUC) and upper urinary tracts (UTUC). In the National Comprehensive Cancer Network gu...
The da Vinci single-port (SP) platform represents the latest innovation in minimally invasive urologic surgery, and the adoption of this technology b...
Limited evidence exists regarding the value of robot-assisted radical prostatectomy (RARP) in promoting health outcomes in patients with prostate canc...
OBJECTIVE: Invasive video-electroencephalography (iVEEG) is the gold standard for evaluation of refractory temporal lobe epilepsy before second stage ...
PURPOSE: This paper introduces the stiffness-tunable soft actuator (STSA), a novel device that combines a silicone body with a thermoplastic resin str...
PURPOSE: Since 2019, intraoperative networking with ISO IEEE 11073 SDC has, for the first time, enabled standardized multi-vendor data exchange betwee...
We conducted this study to explore the efficacy and safety of laparoscopic radical cystectomy (LRC) and robot-assisted radical cystectomy (RARC) for b...
BACKGROUND: Machine learning algorithms are finding increasing use in prediction of surgical outcomes in orthopedics. Random forest is one of such alg...
INTRODUCTION: Robotic surgery has been increasingly utilized, yet its application for hepato-pancreato-biliary (HPB) procedures remains low due to tec...
PURPOSE: Robotic assistance in otologic surgery can reduce the task load of operating surgeons during the removal of bone around the critical structur...
During the early six months after the onset of a stroke, patients usually remain disabled with limbs weakness and need intensive rehabilitation. An in...
The novel robot-assisted (RA) technique has been utilized increasingly to improve the accuracy of cervical pedicle screw placement. Although the clini...
Inguinal hernias are one of the most common surgical pathologies faced by the general surgeon in modern medicine. The cumulative incidence of an ingui...
Colorectal surgery is a specialized branch of surgery that involves the diagnosis and treatment of conditions affecting the colon, rectum, and anus. I...
Trans-axillary robot-assisted total thyroidectomy (RATT) is nowadays worldwide accepted but the completeness obtained by RATT is still debated. The Ai...