SCI时时刷

search
+
MINARO DRS: usability study of a robotic-assisted laminectomy
MINARO DRS: usability study of a robotic-assisted laminectomy
Although the literature shows that robotic assistance can support the surgeon, robotic systems are not widely spread in cl...
Optimization of percutaneous intervention robotic system for skin insertion force
Optimization of percutaneous intervention robotic system for skin insertion force
Percutaneous puncture is a common interventional procedure, and its effectiveness is influenced by the insertion force of ...
Prediction of cardiovascular events after carotid endarterectomy using pathological images and clinical data
Prediction of cardiovascular events after carotid endarterectomy using pathological images and clinical data
Carotid endarterectomy (CEA) is a surgical treatment for carotid artery stenosis. After CEA, some patients experience card...
High-quality semi-supervised anomaly detection with generative adversarial networks
High-quality semi-supervised anomaly detection with generative adversarial networks
The visualization of an anomaly area is easier in anomaly detection methods that use generative models rather than classif...
An analysis on the effect of body tissues and surgical tools on workflow recognition in first person surgical videos
An analysis on the effect of body tissues and surgical tools on workflow recognition in first person surgical videos
Analysis of operative fields is expected to aid in estimating procedural workflow and evaluating surgeons’ procedura...
Artificial intelligence-based analysis of lower limb muscle mass and fatty degeneration in patients with knee osteoarthritis and its correlation with Knee Society Score
Artificial intelligence-based analysis of lower limb muscle mass and fatty degeneration in patients with knee osteoarthritis and its correlation with Knee Society Score
Lower-limb muscle mass reduction and fatty degeneration develop in patients with knee osteoarthritis (KOA) and could affec...
Automated assessment of non-technical skills by heart-rate data
Automated assessment of non-technical skills by heart-rate data
Observer-based scoring systems, or automatic methods, based on features or kinematic data analysis, are used to perform su...
Semi-automatic robotic puncture system based on deformable soft tissue point cloud registration
Semi-automatic robotic puncture system based on deformable soft tissue point cloud registration
Traditional surgical puncture robot systems based on computed tomography (CT) and infrared camera guidance have natural di...
Multimodal human–computer interaction in interventional radiology and surgery: a systematic literature review
Multimodal human–computer interaction in interventional radiology and surgery: a systematic literature review
As technology advances, more research dedicated to medical interactive systems emphasizes the integration of touchless and...
Real-time ultrasound AR 3D visualization toward better topological structure perception for hepatobiliary surgery
Real-time ultrasound AR 3D visualization toward better topological structure perception for hepatobiliary surgery
Ultrasound serves as a crucial intraoperative imaging tool for hepatobiliary surgeons, enabling the identification of comp...
Adaptive infrared patterns for microscopic surface reconstructions
Adaptive infrared patterns for microscopic surface reconstructions
Multi-zoom microscopic surface reconstructions of operating sites, especially in ENT surgeries, would allow multimodal ima...
An intuitive guidewire control mechanism for robotic intervention
An intuitive guidewire control mechanism for robotic intervention
Teleoperated Interventional Robotic systems (TIRs) are developed to reduce radiation exposure and physical stress of the p...
Graph neural networks in multi-stained pathological imaging: extended comparative analysis of Radiomic features
Graph neural networks in multi-stained pathological imaging: extended comparative analysis of Radiomic features
This study investigates the application of Radiomic features within graph neural networks (GNNs) for the classification of...
Towards multimodal visualization of esophageal motility: fusion of manometry, impedance, and videofluoroscopic image sequences
Towards multimodal visualization of esophageal motility: fusion of manometry, impedance, and videofluoroscopic image sequences
Dysphagia is the inability or difficulty to swallow normally. Standard procedures for diagnosing the exact disease are, am...
A framework for three-dimensional statistical shape modeling of the proximal femur in Legg–Calvé–Perthes disease
A framework for three-dimensional statistical shape modeling of the proximal femur in Legg–Calvé–Perthes disease
The pathomorphology of Legg–Calvé–Perthes disease (LCPD) is a key contributor to poor long-term outcomes ...
Quantitative in-vitro assessment of a novel robot-assisted system for cochlear implant electrode insertion
Quantitative in-vitro assessment of a novel robot-assisted system for cochlear implant electrode insertion
As an increasing number of cochlear implant candidates exhibit residual inner ear function, hearing preservation strategie...
Objective performance indicators versus GEARS: an opportunity for more accurate assessment of surgical skill
Objective performance indicators versus GEARS: an opportunity for more accurate assessment of surgical skill
Surgical skill evaluation that relies on subjective scoring of surgical videos can be time-consuming and inconsistent acro...
Ladies and Gentlemen! This is no humbug. Why Model-Guided Medicine will become a main pillar for the future healthcare system
Ladies and Gentlemen! This is no humbug. Why Model-Guided Medicine will become a main pillar for the future healthcare system
Model-Guided Medicine (MGM) is a transformative approach to health care that offers a comprehensive and integrative perspe...
Robotic navigation with deep reinforcement learning in transthoracic echocardiography
Robotic navigation with deep reinforcement learning in transthoracic echocardiography
The search for heart components in robotic transthoracic echocardiography is a time-consuming process. This paper proposes...
Robust unsupervised texture segmentation for motion analysis in ultrasound images
Robust unsupervised texture segmentation for motion analysis in ultrasound images
Ultrasound imaging has emerged as a promising cost-effective and portable non-irradiant modality for the diagnosis and fol...
Multimodal registration network with multi-scale feature-crossing
Multimodal registration network with multi-scale feature-crossing
A critical piece of information for prostate intervention and cancer treatment is provided by the complementary medical im...
Neural network reconstruction of the left atrium using sparse catheter paths
Neural network reconstruction of the left atrium using sparse catheter paths
Catheter-based radiofrequency ablation for pulmonary vein isolation has become the first line of treatment for atrial fibr...
Autonomous countertraction for secure field of view in laparoscopic surgery using deep reinforcement learning
Autonomous countertraction for secure field of view in laparoscopic surgery using deep reinforcement learning
Countertraction is a vital technique in laparoscopic surgery, stretching the tissue surface for incision and dissection. D...
Zero-shot prompt-based video encoder for surgical gesture recognition
Zero-shot prompt-based video encoder for surgical gesture recognition
In order to produce a surgical gesture recognition system that can support a wide variety of procedures, either a very lar...
Improving preparation in the emergency trauma room: the development and impact of real-time data transfer and dashboard visualization system
Improving preparation in the emergency trauma room: the development and impact of real-time data transfer and dashboard visualization system
This study examines, with clinical end users, the features of a visualization system in transmitting real-time patient dat...
An automated framework for pediatric hip surveillance and severity assessment using radiographs
An automated framework for pediatric hip surveillance and severity assessment using radiographs
Hip dysplasia is the second most common orthopedic condition in children with cerebral palsy (CP) and may result in disabi...
Skeleton-guided 3D convolutional neural network for tubular structure segmentation
Skeleton-guided 3D convolutional neural network for tubular structure segmentation
Accurate segmentation of tubular structures is crucial for clinical diagnosis and treatment but is challenging due to thei...
MRI-compatible and sensorless haptic feedback for cable-driven medical robotics to perform teleoperated needle-based interventions
MRI-compatible and sensorless haptic feedback for cable-driven medical robotics to perform teleoperated needle-based interventions
Surgical robotics have demonstrated their significance in assisting physicians during minimally invasive surgery. Especial...
NeRF-OR: neural radiance fields for operating room scene reconstruction from sparse-view RGB-D videos
NeRF-OR: neural radiance fields for operating room scene reconstruction from sparse-view RGB-D videos
RGB-D cameras in the operating room (OR) provide synchronized views of complex surgical scenes. Assimilation of this multi...
Subcutaneous edema segmentation on abdominal CT using multi-class labels and iterative annotation
Subcutaneous edema segmentation on abdominal CT using multi-class labels and iterative annotation
Anasarca is a condition that results from organ dysfunctions, such as heart, kidney, or liver failure, characterized by th...
阅读更多
format_indent_increase