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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...
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 ...
G-SET-DCL: a guided sequential episodic training with dual contrastive learning approach for colon segmentation
G-SET-DCL: a guided sequential episodic training with dual contrastive learning approach for colon segmentation
This article introduces a novel deep learning approach to substantially improve the accuracy of colon segmentation even wi...
A virtual patient authoring tool for transcatheter aortic valve replacement
A virtual patient authoring tool for transcatheter aortic valve replacement
Computer-based medical training scenarios, derived from patient’s records, often lack variability, modifiability, an...
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...
Unsupervised stain augmentation enhanced glomerular instance segmentation on pathology images
Unsupervised stain augmentation enhanced glomerular instance segmentation on pathology images
In pathology images, different stains highlight different glomerular structures, so a supervised deep learning-based glome...
Preoperative and intraoperative laparoscopic liver surface registration using deep graph matching of representative overlapping points
Preoperative and intraoperative laparoscopic liver surface registration using deep graph matching of representative overlapping points
In laparoscopic liver surgery, registering preoperative CT-extracted 3D models with intraoperative laparoscopic video reco...
Multi-modal dataset creation for federated learning with DICOM-structured reports
Multi-modal dataset creation for federated learning with DICOM-structured reports
Purpose Federated training is often challenging on heterogeneous datasets due to divergent data storage options, inconsist...
German surgeons’ perspective on the application of artificial intelligence in clinical decision-making
German surgeons’ perspective on the application of artificial intelligence in clinical decision-making
Artificial intelligence (AI) is transforming clinical decision-making (CDM). This application of AI should be a conscious ...
A deep learning-driven method for safe and effective ERCP cannulation
A deep learning-driven method for safe and effective ERCP cannulation
In recent years, the detection of the duodenal papilla and surgical cannula has become a critical task in computer-assiste...
Intraoperative adaptive eye model based on instrument-integrated OCT for robot-assisted vitreoretinal surgery
Intraoperative adaptive eye model based on instrument-integrated OCT for robot-assisted vitreoretinal surgery
Pars plana vitrectomy (PPV) is the most common surgical procedure performed by retinal specialists, highlighting the need ...
Double-mix pseudo-label framework: enhancing semi-supervised segmentation on category-imbalanced CT volumes
Double-mix pseudo-label framework: enhancing semi-supervised segmentation on category-imbalanced CT volumes
Deep-learning-based supervised CT segmentation relies on fully and densely labeled data, the labeling process of which is ...
Development and validation of a surgical robot system for orbital decompression surgery
Development and validation of a surgical robot system for orbital decompression surgery
Orbital decompression surgery, which expands the volume of the orbit by removing sections of the orbital walls with a dril...
Leveraging deep learning for nonlinear shape representation in anatomically parameterized statistical shape models
Leveraging deep learning for nonlinear shape representation in anatomically parameterized statistical shape models
Statistical shape models (SSMs) are widely used for morphological assessment of anatomical structures. However, a key limi...
Breaking barriers: noninvasive AI model for BRAFV600E mutation identification
Breaking barriers: noninvasive AI model for BRAFV600E mutation identification
BRAFV600E is the most common mutation found in thyroid cancer and is particularly associated with papillary thyroid carcin...
Automatic future remnant segmentation in liver resection planning
Automatic future remnant segmentation in liver resection planning
Liver resection is a complex procedure requiring precise removal of tumors while preserving viable tissue. This study prop...
TRUSWorthy: toward clinically applicable deep learning for confident detection of prostate cancer in micro-ultrasound
TRUSWorthy: toward clinically applicable deep learning for confident detection of prostate cancer in micro-ultrasound
While deep learning methods have shown great promise in improving the effectiveness of prostate cancer (PCa) diagnosis by ...
Intracranial aneurysm detection: an object detection perspective
Intracranial aneurysm detection: an object detection perspective
Intracranial aneurysm detection from 3D Time-Of-Flight Magnetic Resonance Angiography images is a problem of increasing cl...
Global registration of kidneys in 3D ultrasound and CT images
Global registration of kidneys in 3D ultrasound and CT images
Automatic registration between abdominal ultrasound (US) and computed tomography (CT) images is needed to enhance interven...
6G in medical robotics: development of network allocation strategies for a telerobotic examination system
6G in medical robotics: development of network allocation strategies for a telerobotic examination system
Healthcare systems around the world are increasingly facing severe challenges due to problems such as staff shortage, chan...
Enhancing surgical navigation: a robust hand–eye calibration method for the Microsoft HoloLens 2
Enhancing surgical navigation: a robust hand–eye calibration method for the Microsoft HoloLens 2
Optical-see-through head-mounted displays have the ability to seamlessly integrate virtual content with the real world thr...
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...
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...
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...
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...
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...
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