Latest AI and machine learning research in surgery for healthcare professionals.
Deterioration of ventriculoarterial coupling is detrimental to cardiovascular and left ventricular f...
PURPOSE: Augmented Reality in Minimally Invasive Surgery has made tremendous progress in organs incl...
Sparse-view computed tomography (CT) holds promise for reducing radiation exposure and enabling nove...
Introduction Tip support in rhinoplasty is one of the main concerns during surgery. The reconstructi...
The integration of robotics and artificial intelligence holds promise for improving access to surgic...
Surgical robots capable of autonomously performing various tasks could enhance efficiency and augmen...
Postoperative cognitive dysfunction (POCD) is a common neurological complication after surgery, with...
A new artificial oesophagus is described. The device allows minimally invasive oesophageal resection...
The implementation of artificial intelligence (AI) solutions in hospital logistics is becoming incre...
BACKGROUND: Hemorrhage is a prevalent and critical condition in the intensive care unit (ICU), chara...
Prediction of postoperative complications is crucial in surgical care, particularly for penile prost...
BackgroundThe rapid advancement of artificial intelligence (AI) has led to its increasing applicatio...
BACKGROUND/AIMS: Artificial intelligence (AI) in Ophthalmology has yet to be applied to real-time ca...
BACKGROUND: Perioperative education is crucial for optimizing outcomes in neuroendovascular procedur...
PURPOSE: To develop an accurate deep learning model, VAULT-OCT, to predict postoperative vault of ph...
Following complete mesocolic excision (CME), heart failure (HF) emerges as a significant complicatio...
BACKGROUND: Accurately identifying difficult laparoscopic cholecystectomy (DLC) preoperatively remai...
Nanorobotics is catalyzing a paradigm shift in GI surgery by synergizing nanoscale engineering, synt...
BACKGROUND: Driven by advancements in deep learning, surgical robots, and predictive modeling techno...
In this study, we proposed a lightweight neural network architecture based on inverted residual netw...
INTRODUCTION: Food insecurity (FI) is associated with increased adiposity and obesity-related medica...