Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND AND OBJECTIVE: Intracranial hemorrhage (ICH) is a life-threatening emergency that can lea...
PURPOSE: We tackle the problem of online surgical phase recognition in laparoscopic procedures, whic...
The application of artificial intelligence (AI) has provided new capabilities to develop advanced me...
Recent advancements in artificial intelligence (AI) techniques have enabled the development of accur...
BACKGROUND: Urinary incontinence after radical prostatectomy affects many men. In addition to surgic...
Most patients with Crohn disease (CD), a chronic inflammatory gastrointestinal disease, experience r...
Background and objectives: This study aimed to evaluate the association between warm ischemic time (...
OBJECTIVE: Literature suggests access to robotic surgery varies by race and payer status. We seek to...
Out of all existing frameworks for surgical workflow analysis in endoscopic videos, action triplet r...
INTRODUCTION AND HYPOTHESIS: Sacrocolpopexy is the most durable surgical procedure for the treatment...
BACKGROUND: Deep neural networks (DNNs) have not been proven to detect blood loss (BL) or predict su...
OBJECTIVE: Real-time, MRI-guided laser interstitial thermal therapy (MRgLITT) has been reported as a...
BACKGROUND: Robotic-assisted surgeries have gradually become the standard of care for many procedure...
Robotic colorectal surgery allows for better ergonomics, superior retraction, and fine movements in ...
OBJECTIVES: The main purpose of this study was to compare the surgical strategy and clinical outcome...
INTRODUCTION: Minimally invasive esophagectomy (MIE) has not been associated with a long-term surviv...
Over the past decade, artificial intelligence (AI) has largely penetrated our daily life. Hence, our...
Robotic surgery has become widely used in the field of urology. We experienced concurrent robot-assi...
Currently, robotic-assisted coronary artery bypass grafting (RACABG) is a feasible choice for myocar...
INTRODUCTION: With the advancement of robotic surgery, some thoracic surgeons have been slow to adop...
The aim of this study is to build machine learning models to predict severe complications using admi...