Latest AI and machine learning research in surgery for healthcare professionals.
OBJECTIVE: Given that resection of brainstem cavernous malformations (BSCMs) ends hemorrhaging but c...
OBJECTIVE: Surgical microscopes are essential in microsurgery for magnification, focus, and illumina...
OBJECTIVE: To enable context-aware computer assistance in the operating room of the future, cognitiv...
Six-degree-of-freedom robotic testing is used to gain insight into knee function by measuring the bi...
Background: Postoperative gastrointestinal (GI) dysfunction is a common complication following criti...
BACKGROUND: Despite advances in pain management, inadequate pain relief and opioid-related adverse e...
Intraoperative ultrasound (ioUS) is a valuable tool in brain tumor surgery due to its versatility, a...
INTRODUCTION: The transference of technical skills from basic to complex procedures is assumed-but u...
The present study aimed to develop and validate a fusion model based on multi-phase contrast-enhance...
Plastic surgery, by nature an innovative discipline, has historically relied on clinical case report...
The aesthetic appearance of the mouth during smiling significantly influences facial attractiveness,...
State-of-the-art research of traditional computer vision is increasingly leveraged in the surgical d...
INTRODUCTION: The emergence of large language models heralds a new chapter in natural language proce...
Endoscopic Submucosal Dissection (ESD) constitutes a firmly well-established technique within endosc...
BACKGROUND: Obtaining total knee arthroplasty patient-reported outcomes for quality assessment is co...
Starting in the 1970s with robots that were physically isolated from contact with their human co-wor...
BACKGROUND: Circumcision is a prevalent surgical procedure performed for medical, cultural, and reli...
Anesthesiology has a longstanding commitment to patient safety, characterized by innovative research...
High-resolution imaging is crucial for enhancing visual clarity and enabling precise computer-assi...
Surgical instrument segmentation under Federated Learning (FL) is a promising direction, which ena...
In contemporary surgical research and practice, accurately comprehending 3D surgical scenes with t...