Latest AI and machine learning research in surgery for healthcare professionals.
INTRODUCTION: Many studies display significant heterogeneity in the reliability of artificial intell...
Procedural coding presents a taxing challenge for clinicians. However, recent advances in natural la...
It aimed to analyze the value of deep learning algorithm combined with magnetic resonance imaging (M...
BACKGROUND: Tubular microdiscectomy (TMD) is a treatment for lumbar disc herniation (LDH). Although ...
Early and precise diagnosis of craniosynostosis (CSO), which involves premature fusion of cranial su...
The accurate extraction of surgical data from electronic health records (EHRs), particularly operati...
Leveraging its ability to handle large and complex datasets, artificial intelligence can uncover sub...
To achieve precise Couinaud liver segmentation in preoperative planning for hepatic surgery, accommo...
Detecting brain tumors early on is critical for effective treatment and life-saving efforts. The ana...
The Fontan procedure is the definitive palliation for pediatric patients born with single ventricles...
Germinal matrix hemorrhage (GMH) is a critical condition affecting premature infants, commonly diagn...
OBJECTIVE: To compare the ability of a deep-learning platform (the MACSSwin-T model) with health car...
In the last decades, robotic cultivation facilities combined with automated execution of workflows h...
Seizure localization is important for managing drug-resistant focal epilepsy. Here, the capability o...
RATIONALE AND OBJECTIVES: Hemorrhagic transformation (HT) is one of the most serious complications i...
BACKGROUND: A high portal pressure gradient (PPG) is associated with an increased risk of failure to...
BACKGROUND AND OBJECTIVE: For the augmented reality of surgical navigation, which overlays a 3D mode...
Heart failure remains one of the leading causes of mortality and hospitalizations in the US that not...
BACKGROUND: Manual objective assessment of skill and errors in minimally invasive surgery have been ...
While Artificial Intelligence (AI) has the potential to transform the field of diagnostic radiology,...
A seven-year-old girl was referred for the treatment of her primary teeth. An inferior alveolar nerv...