Latest AI and machine learning research in surgery for healthcare professionals.
BackgroundThe incidence of anastomotic leakage (AL) following radical gastrectomy for gastric cancer...
Artificial intelligence (AI) is rapidly transforming surgical care, with growing integration across ...
PURPOSE OF REVIEW: Osteochondrosis encompasses a heterogenous group of pathologies affecting endocho...
BACKGROUND: Acute care surgery (ACS) involves rapid, high-stakes decisions with limited opportunity ...
BACKGROUND: Artificial intelligence (AI) has shown potential in various fields; however, its practic...
Machine learning offers a novel approach to improve surgical triage in pediatric craniomaxillofacial...
PURPOSE: To explore perceived benefits, barriers and motivational factors related to exercising with...
Perioperative acute kidney injury (AKI) is a frequent complication that affects outcomes well beyond...
BACKGROUND CONTEXT: As the population ages, rates of lumbar spine disease have risen, and lumbar fus...
INTRODUCTION: Pediatric surgeons face substantial administrative workload. Large language models (LL...
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into surgical practice, offering...
BACKGROUND: Gastrocsoleus lengthening (GSL) is an established surgical intervention for equinus defo...
OBJECTIVE: To develop and rigorously validate radiomics-based predictive models using postoperative ...
BACKGROUND: This study aimed to develop a data-driven prediction model for cardiac surgery-associate...
BACKGROUND AND OBJECTIVE: Three-dimensional (3D) augmented reality (AR) and artificial intelligence ...
OBJECTIVES: Accurate preoperative classification of pulmonary nodules (PNs) is critical for guiding ...
BACKGROUND CONTEXT: Radiomics, a technique employing machine learning (ML) to extract quantitative f...
Hepatoblastoma (HB) is the most common primary malignant liver tumor in children. Although the incid...
BACKGROUND: This scoping review highlights major advances and persisting gaps in robotic and AI-driv...
BACKGROUND AND OBJECTIVES: Patient-reported outcome measures (PROMs) are ubiquitously used to assess...
BACKGROUND AND OBJECTIVE: High-risk bladder cancer recurs in 30% of cases and causes fatal outcomes ...