Latest AI and machine learning research in surgery for healthcare professionals.
Precise and real-time estimation of the robotic arm's position on the patient's side is essential for the success of remote robotic surgery in Tactile Internet (TI) environments. This paper presents a prediction model based on the Transformer-based Informer framework for accurate and efficient position estimation. Additionally, it combines a Four-State Hidden Markov Model (4-State HMM) to simula...
The integration of robotic arm manipulators into industrial manufacturing lines has become common, thanks to their efficiency and effectiveness in executing specific tasks. With advancements in camera technology, visual sensors and perception systems have been incorporated to address more complex operations. This study introduces a novel visual serving control system designed for robotic operati...
Burn injuries often result in severe hand complications, including joint contractures and nerve damage, sometimes leading to amputation. Despite early...
Image analysis is a key tool for describing the detailed mechanisms of folliculogenesis, such as evaluating the quantity of mouse Primordial ovarian...
Object-centric slot attention is a powerful framework for unsupervised learning of structured and explainable representations that can support reaso...
Recently, Multimodal Large Language Models (MLLMs) have demonstrated their immense potential in computer-aided diagnosis and decision-making. In the...
Establishing the reproducibility of radiomic signatures is a critical step in the path to clinical adoption of quantitative imaging biomarkers; howe...
The "LLM-as-a-judge" paradigm employs Large Language Models (LLMs) as annotators and evaluators in tasks traditionally performed by humans. LLM anno...
Augmentation by generative modelling yields a promising alternative to the accumulation of surgical data, where ethical, organisational and regulato...
Driven by the need to address labor shortages and meet the demands of a rapidly growing population, robotic automation has become a critical compone...
Given an $\mathbb{N}$-weighted tree automaton, we give a decision procedure for exponential vs polynomial growth (with respect to the input size) in...
Intracranial aneurysm (IA) is a common cerebrovascular disease that is usually asymptomatic but may cause severe subarachnoid hemorrhage (SAH) if ru...
Artificial intelligence (AI) has seen a significant surge in popularity, particularly in its application to medicine. This study explores AI's role ...
Purpose: Surgical workflow analysis is crucial for improving surgical efficiency and safety. However, previous studies rely heavily on large-scale a...
Acquiring and annotating surgical data is often resource-intensive, ethical constraining, and requiring significant expert involvement. While genera...
For Minimally Invasive Surgical (MIS) robots, accurate haptic interaction force feedback is essential for ensuring the safety of interacting with so...
Hand-specific localization has garnered significant interest within the computer vision community. Although there are numerous datasets with hand an...
Robotic systems are increasingly employed for industrial automation, with contact-rich tasks like polishing requiring dexterity and compliant behavi...
We develop a procedure for substantially improving the quality of segmented 3D micro-Computed Tomography (micro-CT) images of rocks with a Machine L...
This paper introduces Shake-VLA, a Vision-Language-Action (VLA) model-based system designed to enable bimanual robotic manipulation for automated co...