Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: The introduction of neoadjuvant and perioperative immunotherapy has broadened treatment ...
OBJECTIVE: The purpose of this study was to create a risk score for loss of aorto-bifemoral artery b...
Chromovitrectomy has revolutionized vitreoretinal surgery by enabling the visualization of nearly tr...
OBJECTIVE: The purpose of this study was to describe and synthesize the existing literature regardin...
The aim of this study was to quantify postoperative regional condylar remodeling and its role in ske...
CONTEXT.—: Breast-conserving surgery (BCS) offers comparable overall survival rates to mastectomy. H...
BACKGROUND: The introduction of genomic profiling as a tool for molecular classification and clinica...
PURPOSE: Rectovaginal fistula from perineal body injury during delivery is rare, with limited case v...
BACKGROUND: Vertebral landmark localization in computed tomography (CT) volumes is crucial for spina...
BACKGROUND: Older patients with patellar fractures may be at increased risk of postoperative deep ve...
BACKGROUND: Clinical medicine postgraduates are expected to attain competencies equivalent to senior...
BACKGROUND: Accurate and accessible screening tools for periodontitis are essential for early detect...
BACKGROUND: Exploratory applications of large language models within the specialized field of metabo...
Longitudinal electronic health record (EHR) trajectories are highly heterogeneous, sparse, and irreg...
BACKGROUND: Congenital heart disease (CHD), one of the most common birth defects, poses challenges t...
Glioblastoma multiforme (GBM) is the most common and aggressive primary malignant brain tumor. Despi...
BACKGROUND: In an attempt to overcome the space-time limitations of traditional training we used a n...
OBJECTIVE: Postoperative poor wound healing (PWH) is a significant complication following posterior ...
BACKGROUND AND OBJECTIVES: Intramedullary spinal cord tumor (IMSCT) resection carries a high risk of...
OBJECTIVE: To develop a predictive model for pathological complete response (pCR) after total neoadj...
OBJECTIVE: This study aimed to develop and externally validate an interpretable machine learning (ML...