Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: Operator-dependent laboratory tasks-embryo selection, vitrification and warming, and int...
OBJECTIVES: A robot-assisted haptic guidance system (RA) has recently been introduced to facilitate ...
BACKGROUND: Enhanced-view totally extraperitoneal (eTEP) repair enables minimally invasive retromusc...
BACKGROUND: This is an updated component network meta-analysis to evaluate efficacy and safety of va...
The increasing adoption of machine learning and artificial intelligence in surgical risk prediction ...
BACKGROUND: Circulating tumor DNA (ctDNA) detection offers minimally invasive monitoring of cancer f...
BACKGROUND: Minimally invasive pyeloplasty (MIP), encompassing both conventional laparoscopy and rob...
Robotic liver surgery (RLS) is expanding in recent years. Complication prediction is crucial for pos...
OBJECTIVE: To investigate the potential of magnetic resonance imaging (MRI) radiomics-based machine ...
BACKGROUND AND OBJECTIVE: Vocal cord leukoplakia (VCL) is a common precancerous lesion of the larynx...
BACKGROUND: Intracerebral hemorrhage (ICH) remains associated with high mortality and treatment vari...
OBJECTIVE: To develop and internally validate an early prediction model for prolonged mechanical ven...
This article reviews the evolving role of image-guided surgery (IGS) and fluorescence-guided surgery...
PURPOSE OF REVIEW: This review examines the current role of deep learning in the surgical management...
BACKGROUND: Thyroid-associated ophthalmopathy (TAO) is an autoimmune orbital disease that may cause ...
BACKGROUND: Hilar cholangiocarcinoma (HCCA) is a malignant tumor at the hepatic hilum with poor prog...
INTRODUCTION: This study aimed to develop and validate diagnostic models for distinguishing benign a...
Insects have long served as inspiration for robotic systems for various applications. Among them, be...
OBJECTIVE: To investigate clinical outcomes, safety, and sustainability of humanitarian otolaryngolo...
INTRODUCTION: Accurate prediction of peri-operative cardiac complications is critical to optimise pr...
BACKGROUND AND PURPOSE: After total knee arthroplasty (TKA), 10-20% of patients remain unsatisfied....