Electromagnetic navigation for femoral osteotomy using high-accuracy X-ray-to-CT registration [0.03%]
基于高精度X线与CT配准的大腿骨电磁导航截骨定位方法
Roman Flepp,Arend Nieuwland,Bastian Sigrist et al.
Roman Flepp et al.
Purpose: Accurate execution of preoperative plans in corrective femoral osteotomies remains a substantial challenge. Current techniques are limited by variable accuracy, invasiveness, and substantial radiation exposure, w...
Modular instrument actuation unit for robotic-assisted systems in laparoscopic surgery [0.03%]
模块化器械驱动装置：用于腹腔镜手术辅助机器人的系统
Luca Fäth,Sonja Stabenow,Dennis N Schneider et al.
Luca Fäth et al.
Purpose: Minimally invasive surgery involves repetitive and physically demanding manipulation tasks that contribute to surgeon fatigue and limit ergonomic efficiency. Semi-autonomous robotic assistance offers the potentia...
Pose-aware deep perceptual similarity for iterative 2D/3D registration of knee joints using contrastive learning [0.03%]
基于对抗学习的姿势感知深度感知相似性膝关节二维/三维迭代配准方法研究
Jinhao Wang,Xia Li,Raphael Surbeck et al.
Jinhao Wang et al.
Purpose: Accurate 2D/3D registration between fluoroscopic X-ray images and preoperative CT models is essential to get dynamic joint kinematics in computer-assisted orthopedic analysis. Traditional correlation-based simila...
SurgCheck: Do vision-language models really look at images in surgical VQA? [0.03%]
SurgCheck：视觉语言模型在手术问答中真的会查看图像吗？
Jongmin Shin,Ka Young Kim,Eunki Cho et al.
Jongmin Shin et al.
Purpose: Vision-language models (VLMs) have shown promising performance in surgical visual question answering (VQA). However, existing surgical VQA datasets often contain linguistic shortcuts, where question phrasing impl...
An evolutionary neural architecture search for magnetic resonance image reconstructions [0.03%]
一种用于磁共振图像重建的进化神经网络架构搜索方法
Samira Vafay Eslahi,Jian Tao,Jim Ji
Samira Vafay Eslahi
Purpose: Deep learning has emerged as a promising approach for magnetic resonance imaging (MRI) reconstruction from undersampled data. However, manually designing an optimized neural network architecture is time-consuming...
Robust quantification of ICG fluorescence perfusion in neonatal bowel surgery via deep point tracking [0.03%]
基于深度点跟踪技术的新生儿肠管手术中ICG荧光灌注强弱的鲁棒量化方法研究
Zhehua Mao,Antonio Composto,Jonathan Neville et al.
Zhehua Mao et al.
Purpose: Indocyanine green (ICG) fluorescence imaging is increasingly used for intraoperative bowel perfusion assessment in neonatal surgery. However, existing commercial solutions are limited to track few manually select...
User-centered design of graphical user interfaces for telemedical robotic systems: development and usability study [0.03%]
以用户为中心的远程医疗机器人系统图形用户界面设计与发展及可用性研究
Sven Kolb,Marie Kautt,Lars Wagner et al.
Sven Kolb et al.
Purpose: We explore an approach to develop telemedical Graphical User Interfaces (GUIs) using User-centered Design (UCD) methods. In contrast with prior work that emphasizes system integration, we center on the GUI as the...
System-level evaluation of 5G standalone communication infrastructure for robotic telesurgery [0.03%]
独立组网通信基础设施的机器人远程手术系统级评估研究
Takuto Hara,Yoshifumi Morihiro,Yuki Horise et al.
Takuto Hara et al.
Background: Telesurgery, which enables remote surgical procedures via robotic systems and network communication, has emerged as a promising approach to reducing disparities in surgical access. Successful real-time telesur...
Gregor Just,Alexander C Jenke,Antonia Kraneis et al.
Gregor Just et al.
Purpose: Continuous deployment in surgical AI promises adaptive models that evolve with clinical practice, yet its success critically depends on efficient annotation, balancing limited expert time with the need to identif...
GEN-Guard: correcting generalization failures for deployable federated surgical AI [0.03%]
GEN-Guard：纠正可部署联合外科AI的泛化失败现象
Julia Alekseenko,Pietro Mascagni;AISafeChole Consortium;Nicolas Padoy
Julia Alekseenko
Purpose: Federated Learning (FL) in surgical video AI enables collaborative model training without sharing sensitive data. However, standard evaluation practices-selecting the "best" global model based only on validation ...