Surgery

The Effect of Nursing Students' Artificial Intelligence Anxiety on Their Knowledge of Robotic Surgery: The Mediating Role of Individual Innovativeness.

AIMS: This study aims of determine the mediating role of individual innovativeness in the effect of nursing students' artificial intelligence anxiety on their robotic surgery knowledge level.

Effect of Laminectomy Methods on the Surgical Safety of Automatic Laminectomy Robot.

BACKGROUND: The efficacy of laminectomy procedures is contingent on the method of resection. The objective of this study was to investigate the impact of different methods of resection on the surgical safety of automated laminectomy robots, an area that remains uncharted.

Full Study, Model Verification, and Control of a Five Degrees of Freedom Hybrid Robotic-Assisted System for Neurosurgery.

BACKGROUND: Neurosurgery demands high precision, and robotic-assisted systems are increasingly employed to enhance surgical outcomes. This study focus...

Network Delay Forecast and Master-Slave Consistency Enhancement for Remote Surgical Robots.

BACKGROUND: The inevitable network delay can directly impact the process of remote surgeries and affect the master-slave motion consistency, and sudde...

Machine Learning Accurately Predicts Muscle Invasion of Bladder Cancer Based on Three miRNAs.

The aim of this study was to validate the diagnostic potential of four previously identified miRNAs in two independent cohorts and to develop accurate...

Vision Module for Automatic Tracking on Bedside Intelligent Scope-Holding Surgical Robot System.

BACKGROUND: This study aims to develop an active following technology of the mirror-holding arm of a bedside intelligent surgical robot that enables r...

Advancing Dense Endoscopic Reconstruction with Gaussian Splatting-driven Surface Normal-aware Tracking and Mapping

Simultaneous Localization and Mapping (SLAM) is essential for precise surgical interventions and robotic tasks in minimally invasive procedures. Whi...

Augmented Intelligence for Multimodal Virtual Biopsy in Breast Cancer Using Generative Artificial Intelligence

Full-Field Digital Mammography (FFDM) is the primary imaging modality for routine breast cancer screening; however, its effectiveness is limited in ...

[Research Progress and Prospects of Minimally Invasive Surgical Instrument Segmentation Methods Based on Artificial Intelligence].

With the development of artificial intelligence technology and the growing demand for minimally invasive surgery, the intelligentization of minimally ...

[Intelligent Monitoring System Based on Computer Vision and Artificial Intelligence].

To ensure the quality of care for inpatients in ophthalmic hospitals, address the complex and variable conditions of postoperative patients, and condu...

Dual Invariance Self-training for Reliable Semi-supervised Surgical Phase Recognition

Accurate surgical phase recognition is crucial for advancing computer-assisted interventions, yet the scarcity of labeled data hinders training reli...

Testing Conditional Mean Independence Using Generative Neural Networks

Conditional mean independence (CMI) testing is crucial for statistical tasks including model determination and variable importance evaluation. In th...

Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room

Intraoperative ultrasound (ioUS) is a valuable tool in brain tumor surgery due to its versatility, affordability, and seamless integration into the ...

Postoperative Management of Tympanoplasty with ChatGPT-4.0.

Background: Tympanoplasty, essential for repairing tympanic membrane perforations, requires careful postoperative care for successful recovery. Howeve...

FAVbot: An Autonomous Target Tracking Micro-Robot with Frequency Actuation Control

Robotic autonomy at centimeter scale requires compact and miniaturization-friendly actuation integrated with sensing and neural network processing a...

Acquiring Submillimeter-Accurate Multi-Task Vision Datasets for Computer-Assisted Orthopedic Surgery

Advances in computer vision, particularly in optical image-based 3D reconstruction and feature matching, enable applications like marker-less surgic...

Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data

We present RASO, a foundation model designed to Recognize Any Surgical Object, offering robust open-set recognition capabilities across a broad rang...

Detecting Unauthorized Drones with Cell-Free Integrated Sensing and Communication

Integrated sensing and communication (ISAC) boosts network efficiency by using existing resources for diverse sensing applications. In this work, we...

Force-Based Robotic Imitation Learning: A Two-Phase Approach for Construction Assembly Tasks

The drive for efficiency and safety in construction has boosted the role of robotics and automation. However, complex tasks like welding and pipe in...

Stroke classification using Virtual Hybrid Edge Detection from in silico electrical impedance tomography data

Electrical impedance tomography (EIT) is a non-invasive imaging method for recovering the internal conductivity of a physical body from electric bou...