SurgPointTransformer: transformer-based vertebra shape completion using RGB-D imaging [0.03%]
基于变压器的RGB-D成像腰椎形状补充(SurgPointTransformer)
Aidana Massalimova,Florentin Liebmann,Sascha Jecklin et al.
Aidana Massalimova et al.
State-of-the-art computer- and robot-assisted surgery systems rely on intraoperative imaging technologies such as computed tomography and fluoroscopy to provide detailed 3D visualizations of patient anatomy. However, these methods expose bo...
Retrospective case control study on the evaluation of the impact of augmented reality in gynecological laparoscopy on patients operated for myomectomy or adenomyomectomy [0.03%]
增强现实技术在妇科腹腔镜子宫肌瘤或腺肌病手术中应用的回顾性病例对照研究
Aurélie Comptour,Pauline Chauvet,Anne-Sophie Grémeau et al.
Aurélie Comptour et al.
The objective of this study is to evaluate the safety of using augmented reality (AR) in laparoscopic (adeno)myomectomy, defined as an increase in operating time shorter than 15 min. A total of 17 AR cases underwent laparoscopic myomectomy ...
Corrigendum [0.03%]
勘误表
Deep learning methods for clinical workflow phase-based prediction of procedure duration: a benchmark study [0.03%]
临床工作流程阶段的程序时长预测深度学习方法：基准研究
Emanuele Frassini,Teddy S Vijfvinkel,Rick M Butler et al.
Emanuele Frassini et al.
This study evaluates the performance of deep learning models in the prediction of the end time of procedures performed in the cardiac catheterization laboratory (cath lab). We employed only the clinical phases derived from video analysis as...
Imageless optical navigation system is clinically valid for total knee arthroplasty [0.03%]
无影像光学导航系统在全膝关节置换术中的临床应用有效性
Taylor B Winberg,Sheila Wang,James L Howard
Taylor B Winberg
Achieving optimal implant position and orientation during total knee arthroplasty (TKA) is a pivotal factor in long-term survival. Computer-assisted navigation (CAN) has been recognized as a trusted technology that improves the accuracy and...
Flexible endoscope manipulating robot using quad-roller friction mechanism [0.03%]
采用四滚轮摩擦机制的医用刚性内窥镜机器人系统
Subin Lee,Hyeonwook Kim,Jaehyeon Byeon et al.
Subin Lee et al.
A robotic system for manipulating a flexible endoscope in surgery can provide enhanced accuracy and usability compared to manual operation. However, previous studies require large-scale, complex hardware systems to implement the rotational ...
Monte Carlo-based rendering of 3D echocardiography for mixed reality-guided atrial septal puncture positioning [0.03%]
基于蒙特卡洛三维心脏超声混合现实房间隔穿刺定位渲染技术
Dharani Dhar Maddali,Håvard Solvin,Matthias Lippert et al.
Dharani Dhar Maddali et al.
Catheter-based intervention procedures contain complex maneuvers, and they are often performed using fluoroscopic guidance assisted by 2D and 3D echocardiography viewed on a flat screen that inherently limits depth perception. Emerging mixe...
Early postoperative efficacy of a fully automated orthopedic robotic system-assisted percutaneous pedicle screw fixation for isthmic spondylolisthesis [0.03%]
经皮腰椎峡部裂滑脱钉棒系统内固定术后早期疗效的一项机器人辅助手术学习曲线分析
Li Zongze,Cheng Yongquan,Zeng Guanjie et al.
Li Zongze et al.
To assess the feasibility of percutaneous pedicle screw fixation assisted by a fully automated orthopedic robotic system for the treatment of isthmic spondylolisthesis and evaluate its early postoperative outcome. Totally 20 patients with i...
A review on organ deformation modeling approaches for reliable surgical navigation using augmented reality [0.03%]
基于增强现实的可靠手术导航的器官变形建模方法综述
Zheng Han,Qi Dou
Zheng Han
Augmented Reality (AR) holds the potential to revolutionize surgical procedures by allowing surgeons to visualize critical structures within the patient's body. This is achieved through superimposing preoperative organ models onto the actua...
Prediction of additional hospital days in patients undergoing cervical spine surgery with machine learning methods [0.03%]
基于机器学习方法预测颈椎手术患者额外住院日
Bin Zhang,Shengsheng Huang,Chenxing Zhou et al.
Bin Zhang et al.
Background: Machine learning (ML), a subset of artificial intelligence (AI), uses algorithms to analyze data and predict outcomes without extensive human intervention. In healthcare, ML is gaining attention for enhancing ...