Deep learning-based femoral reconstruction from intraoperative point clouds for enhanced knee arthroplasty registration [0.03%]
基于深度学习的股骨重建在膝关节置换术中的应用研究
Maedeh Kafian Safari,Morteza Mirzae,Behnaz Gheflati et al.
Maedeh Kafian Safari et al.
Purpose: Computer- and robotic-assisted technologies improve total knee arthroplasty (TKA) through intraoperative bone registration. However, limited bone exposure restricts point collection to the distal femur, omitting ...
Comparative study of ultrasound shape completion and CBCT-based AR workflows for spinal needle interventions [0.03%]
基于超声和CBCT的脊柱穿刺手术增强现实导航方法比较研究
Tianyu Song,Feng Li,Felix Pabst et al.
Tianyu Song et al.
Purpose: This study compares two augmented reality (AR)-guided imaging workflows, one based on ultrasound shape completion and the other on cone-beam computed tomography (CBCT), for planning and executing lumbar needle in...
Estimation of histopathological types from breast MRI findings using a large language model [0.03%]
基于乳腺MRI影像的大型语言模型在病理类型的估计中的应用研究
Rie Kanasaki,Kazufumi Suzuki,Takami Ota et al.
Rie Kanasaki et al.
Purpose: Large language models (LLMs) may hold the potential to infer pathological diagnoses from imaging findings such as computed tomography or magnetic resonance imaging (MRI). This retrospective study investigates whe...
Real-time target tracking using image registration and motion prediction [0.03%]
基于图像配准和运动预测的实时目标跟踪算法研究
Victoria Buchanan,Elodie Lugez
Victoria Buchanan
Purpose: Real-time tracking of anatomical targets is critical in numerous clinical interventions. In magnetic resonance-guided therapies, targets are typically tracked only in 2D or pseudo-3D, and system latencies from im...
Enhanced distance perception in automated robotic endoscopy through scale-aware monocular depth estimation [0.03%]
基于尺度感知的单目深度估计在自动化机器人内窥镜中的增强距离感知研究
Ruofeng Wei,Kai Chen,Yiyao Ma et al.
Ruofeng Wei et al.
Purpose: The increasing demand for distance perception in surgical robotic systems is crucial for ensuring safe and effective operations in minimally invasive procedures. Accurate distance awareness allows surgical robots...
Safe and usable ensemble formation for networked medical devices: a comparative study of 5G, NFC and pop-up pairing [0.03%]
一种用于联网医疗设备的安全且易于使用的群集形成方法：5G、NFC和即插即用配对的比较研究
Okan Yilmaz,Simon Kißmann,Marlene Goschkowski et al.
Okan Yilmaz et al.
Purpose: Incorrectly formed medical device ensembles can cause therapy to be performed at the wrong site or display safety-critical data from the wrong patient. This early, exploratory study investigates which wireless en...
CRAC-DM: class relation-aware categorical diffusion model for surgical scene segmentation [0.03%]
基于类关系的类别扩散模型在手术场景分割中的应用研究
Yihang Zhou,Chi Xu,Zaid Awad et al.
Yihang Zhou et al.
Purpose: Accurate multi-class segmentation of surgical scenes remains challenging due to ambiguous anatomical boundaries and imaging artifacts. While diffusion-based segmentation methods have achieved good results, they r...
Trusted polyp segmentation via multi-scale evidence ensemble in colonoscopy images [0.03%]
结肠镜图像中基于多尺度证据集成的可信息肉分割方法
Mengjie Chen,Bing Cao,Jiaming Zhao et al.
Mengjie Chen et al.
Purpose: Accurate and reliable polyp segmentation is essential for early colorectal cancer detection. Although recent methods employing multi-scale feature aggregation have achieved high accuracy, their reliability in cha...
Action classification for endoscopic pituitary adenoma resection: a consensus-based study [0.03%]
内镜垂体腺瘤切除手术动作分类共识研究
Joachim Starup-Hansen,Danyal Z Khan,Adrito Das et al.
Joachim Starup-Hansen et al.
Purpose: Pituitary adenoma resection via the endoscopic transsphenoidal approach is technically demanding, with outcomes influenced by surgical skill. However, the association between technique and outcomes remains poorly...
Patient-specific instantaneous spatial temperature maps for MR-guided laser interstitial thermal therapy using a physics-assisted deep learning framework [0.03%]
基于物理辅助的深度学习框架用于磁共振引导激光间质热疗的个体化瞬时空间温度图
Saba Sadatamin,Timur H Latypov,Steven Robbins et al.
Saba Sadatamin et al.
Purpose: Accurate prediction of the laser energy absorption and corresponding thermal spread is essential for safe and effective outcomes in magnetic resonance-guided laser interstitial thermal therapy (MRgLITT), as it en...