Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: Accurate segmentation of cartilage from magnetic resonance imaging (MRI) is crucial for ...
BACKGROUND: Dysphagia is recognized as one of the most common severe complications following cardiac...
PURPOSE: To develop and validate machine learning (ML) models for postoperative risk stratification ...
BACKGROUND: Intracerebral hemorrhage (ICH) is a leading cause of long-term disability, particularly ...
IMPORTANCE: Hospitals are increasingly experiencing challenges with variable and unpredictable inpat...
Accurate prediction of tracheostomy after craniotomy for supratentorial intracerebral hemorrhage (sI...
Purpose To develop a self-supervised text-vision framework to detect abnormalities on brain MRI scan...
BACKGROUND: A comprehensive preoperative assessment of the patient's physical condition is crucial f...
AIM: To evaluate the value of machine learning in assessing intraoperative blood loss by comparing a...
BACKGROUND: Epilepsy surgery is an important intervention for treatment-resistant epilepsy, butthe a...
OBJECTIVES: To evaluate the caries detection performance of a commercially available AI-system (Nost...
Fetal and neonatal alloimmune thrombocytopenia (FNAIT) is a major cause of severe thrombocytopenia, ...
OBJECTIVE: Artificial intelligence (AI) is poised to transform surgical education, particularly in p...
Covariate adjustment is an approach to improve the precision of trial analyses by adjusting for base...
BACKGROUND AND PURPOSE: Artificial intelligence (AI) models have shown promise in neuroradiology, ye...
OBJECTIVE: The subset of breast cancer patients with pathologic node-negative status (ypN0) after ne...
INTRODUCTION: Idiopathic scoliosis (IS) is a 3-dimensional spinal deformity that affects ∼3.1% of th...
INTRODUCTION: Robotic surgery has transformed the management of oncologic pathologies by offering mi...
PURPOSE: To evaluate the performance of a deep learning (DL) model in classifying diabetic retinopat...
Neuroimaging studies are essential for evaluating patients with drug-resistant focal epilepsy and de...
BACKGROUND AND AIMS: The impact of computer-aided detection (CADe)-assisted colonoscopy on gastroent...