Latest AI and machine learning research in surgery for healthcare professionals.
Capsular contracture is a prevalent and severe complication that affects the postoperative outcomes of patients who receive silicone breast implants. At present, prosthesis replacement is the major treatment for capsular contracture after both breast augmentation procedures and breast reconstruction following breast cancer surgery. However, the mechanism(s) underlying breast capsular contracture r...
Surgical workflow analysis is essential to help optimize surgery by encouraging efficient communication and the use of resources. However, the performance of phase recognition is limited by the use of information related to the presence of surgical instruments. To address the problem, we propose visual modality-based multimodal fusion for surgical phase recognition to overcome the limited diversit...
Robot-assisted minimally invasive surgery has been broadly employed in complicated operations. However, the multiple surgical instruments may occupy a...
BACKGROUND: Accurate projections of procedural case durations are complex but critical to the planning of perioperative staffing, operating room resou...
PURPOSE: To report perioperative, renal function and oncological outcomes of robot-assisted radical nephroureterectomy (RNU) for patients with upper t...
This step-by-step article demonstrates our approach to robot-assisted laparoscopic revision of a bladder neck sited artificial urinary sphincter (AUS)...
BACKGROUND: Evidence on the value of minimally invasive pancreatic surgery (MIPS) has been increasing but it is unclear how this has influenced the vi...
BACKGROUND: This study demonstrates our experience of single-port robotic posterior retroperitoneal adrenalectomy (RPRA) using the da Vinci SP robot s...
The aim of this study was to assess the feasibility of complex unicortical calvarial harvesting by using the Cold Ablation Robot-Guided Laser Osteotom...
Intracerebral hemorrhage is the subtype of stroke with the highest mortality rate, especially when it also causes secondary intraventricular hemorrhag...
The operating skills of vascular interventionists have an important impact on the effect of surgery. However, current research on behavior recognition...
Delayed cerebral ischemia (DCI) is a common and severe complication after subarachnoid hemorrhage (SAH). Logistic regression (LR) is the primary metho...
The purpose of this study is to compare robot-assisted and manual subretinal injections in terms of successful subretinal blistering, reflux incidence...
BACKGROUND: Gastroesophageal reflux disease requiring an operative solution is common. Minimally invasive surgery to generate an anti-reflux barrier a...
PURPOSE: The Hugo™ RAS system is a novel robotic platform with innovative features. However, there are currently no available data on extraperitoneal ...
BACKGROUND: Robot-assisted gait training is incorporated into guidelines for stroke rehabilitation. It is a promising tool combined with conventional ...
The recent integration of new virtual visualization modalities with artificial intelligence and high-speed internet connection has opened the door to ...
Using data from cardiovascular surgery patients with long and highly variable post-surgical lengths of stay (LOS), we develop a modeling framework to ...
BACKGROUND AND OBJECTIVES: Assessment and feedback are critical to surgical education, but direct observational feedback by experts is rarely provided...