Latest AI and machine learning research in surgery for healthcare professionals.
OBJECTIVE: To determine whether multimodal predictive models incorporating task-level objective perf...
BACKGROUND: Accurate real-time classification of colorectal polyps during colonoscopy is essential f...
Head and neck reconstruction is a technically demanding subspecialty where successful outcomes requi...
BACKGROUND: This study aimed to compare intraoperative visualization between diluted epinephrine (EP...
BACKGROUND: To evaluate whether baseline multi-parametric MRI radiomics models, integrating multiple...
PURPOSE: Esophageal variceal (EV) bleeding is a lethal complication in patients with hepatocellular ...
BACKGROUND: Intraoperative hypotension (IOH) is associated with myocardial injury, acute kidney inju...
Theranostic development centers operate under stringent good laboratory practice (GLP) and good manu...
OBJECTIVE: To develop quality assurance models for adverse procedural events after lung resection an...
PURPOSE: To identify and describe the prognostic factors associated with outcomes after knee cartila...
IntroductionCounting surgical instruments during surgical procedures is critical for ensuring patien...
PURPOSE OF REVIEW: Midurethral sling (MUS) surgery is the standard procedure for stress urinary inco...
PURPOSE: To identify preoperative clinical and electrodiagnostic predictors of outcome after anterio...
BACKGROUND: Caregivers of pediatric orthopaedic surgical patients routinely receive discharge docume...
INTRODUCTION: Transcatheter aortic valve replacement (TAVR) and surgical aortic valve replacement (S...
OBJECTIVE: Data-driven risk prediction algorithms are increasingly common. However, studies suggesti...
Cardiac computed tomography (CT) has progressed from a non-invasive test primarily used to exclude o...
OBJECTIVES: Bladder cancer (BC) has a high recurrence rate, requiring invasive procedures such as cy...
Surgical research increasingly relies on computational analysis of large clinical datasets, and majo...
BACKGROUND: Manual effort required for feature extraction from operative reports can be time-intensi...
OBJECTIVE: Soft tissue prediction is of great importance for the surgical design and patients ' sati...