Latest AI and machine learning research in surgery for healthcare professionals.
Object-centric slot attention is a powerful framework for unsupervised learning of structured and ...
Recently, Multimodal Large Language Models (MLLMs) have demonstrated their immense potential in co...
Establishing the reproducibility of radiomic signatures is a critical step in the path to clinical...
The "LLM-as-a-judge" paradigm employs Large Language Models (LLMs) as annotators and evaluators in...
Augmentation by generative modelling yields a promising alternative to the accumulation of surgica...
Driven by the need to address labor shortages and meet the demands of a rapidly growing population...
Intracranial aneurysm (IA) is a common cerebrovascular disease that is usually asymptomatic but ma...
Artificial intelligence (AI) has seen a significant surge in popularity, particularly in its appli...
Purpose: Surgical workflow analysis is crucial for improving surgical efficiency and safety. Howev...
Acquiring and annotating surgical data is often resource-intensive, ethical constraining, and requ...
For Minimally Invasive Surgical (MIS) robots, accurate haptic interaction force feedback is essent...
Hand-specific localization has garnered significant interest within the computer vision community....
This paper introduces Shake-VLA, a Vision-Language-Action (VLA) model-based system designed to ena...
BACKGROUND: Postoperative recurrence risk for pediatric low-grade gliomas (pLGGs) is challenging to ...
During tumor resection surgery, surgeons rely on neuronavigation to locate tumors and other critic...
Assistive mobile robots are a transformative technology that helps persons with disabilities regai...
Artificial intelligence (AI) technology is a scientific and technological field that focuses on the ...
Background: Healthcare has many manual processes that can benefit from automation and augmentation...
Deep Anterior Lamellar Keratoplasty (DALK) is a partial-thickness corneal transplant procedure use...
The development of general robotic systems capable of manipulating in unstructured environments is...
Accurate instrument pose estimation is a crucial step towards the future of robotic surgery, enabl...