Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: Rare diseases affect more than 300 million people globally, and only about 5% have appro...
INTRODUCTION: Hydrocephalus is a common pediatric neurological disorder characterized by abnormal he...
Surgical instrument segmentation is crucial for enhancing visual perception and enabling precise man...
OBJECTIVES: This study aimed to develop and implement robotic process automation (RPA) for identifyi...
OBJECTIVES: To investigate the association between quantitative retinal vascular parameters and coro...
BACKGROUND: In vitro testing is a fundamental approach for advancing spinal biomechanics research. H...
BACKGROUND: Textbook outcome (TO) serves as a validated composite metric for short-term surgical qua...
Postoperative differentiation between scar tissue and recurrent lesions in patients with breast canc...
BACKGROUND. Research on artificial intelligence (AI)-based computer-assisted detection and diagnosis...
Stretchable tactile sensors are essential for robotic skin; however, conventional planar integration...
OBJECTIVES: By comparing deep learning and habitat analysis models based on contrast-enhanced CT (CE...
INTRODUCTION: Large language models (LLMs) are increasingly being explored in healthcare, particular...
Exploring large language models (LLMs) performance in the specific medical domain can help understan...
BACKGROUND: Primary cardiac malignancies are rare and highly aggressive, with limited clinical evide...
BACKGROUND: In clinical stage IA lung adenocarcinoma (LUAD), rapid and accurate intraoperative diagn...
BACKGROUND: Robotic colorectal surgery has achieved widespread clinical adoption, yet meaningful sta...
BACKGROUND: Endoscopic retrograde cholangiopancreatography (ERCP) serves as an essential procedure f...
BACKGROUND: Ureteroscopic lithotripsy is a minimally invasive surgical procedure used to treat kidne...
OBJECTIVE: To examine whether the economic benefits of bariatric surgery differ by patient subgroups...
BACKGROUND/AIM: The incidence of postoperative complications in minimally-invasive surgery for pancr...
PURPOSE: Our study aims to develop a machine learning model that not only predicts the occurrence of...