Latest AI and machine learning research in surgery for healthcare professionals.
Hirschsprung disease, a congenital disease characterized by the absence of ganglion cells, presents ...
PURPOSE OF REVIEW: Perioperative risk scores aim to risk-stratify patients to guide their evaluation...
BACKGROUND: Decentralized federated learning (DFL) may serve as a useful framework for machine learn...
Venous blood collection is a widely used medical diagnostic technique, and with rapid advancements i...
BACKGROUND: Predicting the length of stay in advance will not only benefit the hospitals both clinic...
BACKGROUND: Hip fractures are among the most morbid acute orthopaedic injuries often due to accompan...
Integrating artificial intelligence (AI) into healthcare prompts the need to measure its proficiency...
Rapid evaporative ionization mass spectrometry (REIMS) coupled with a monopolar handpiece used for s...
Advancements in medical imaging and endovascular grafting have facilitated minimally invasive treatm...
During the robotic grinding of vertebral plates in high-risk laminectomy procedures, programmed oper...
Periventricular anastomosis (PA) is the characteristic collateral network in Moyamoya disease (MMD)....
BACKGROUND: Intraoperative hemorrhage during laparoscopic hepatectomy (LH) is a risk factor for nega...
In the era of Industry 4.0, the study of Human-Robot Collaboration (HRC) in advancing modern manufac...
Individual physiotherapy is crucial in treating patients with various pain and health issues, and si...
The research focuses on leveraging convolutional neural networks (CNNs) to enhance the analysis of p...
Standard-of-care (SoC) imaging for assessing colorectal polyps during colonoscopy, based on white-li...
OBJECTIVES: To assess the feasibility and accuracy of a new prototype robotic implant system for the...
Magnetic microrobots, designed to navigate the complex environments of the human body, show promise ...
OBJECTIVE: To assess the efficacy of machine learning models in identifying factors associated with ...
Natural organisms and biological systems provide a rich source of inspiration for the development of...
Correlations between morphology and lifestyle of extant taxa are useful for predicting lifestyles of...