Autonomous skeletal landmark localization toward agentic C-arm control [0.03%]
自主骨骼 landmarks 定位面向代理式 C 臂控制
Jay Hwasung Jung,Ahmad Arrabi,Jax Luo et al.
Jay Hwasung Jung et al.
Purpose: Automated C-arm positioning ensures timely treatment in patients requiring emergent interventions. When a conventional deep learning (DL) approach for C-arm control fails, clinicians must revert to manual operati...
GUIDE-US: grade-informed unpaired distillation of encoder knowledge from histopathology to micro-ultrasound [0.03%]
基于分级的无配对知识蒸馏方法用于从组织病理学走向微超声
Tarek Elghareb,Emma Willis,Paul F R Wilson et al.
Tarek Elghareb et al.
Purpose: Non-invasive grading of prostate cancer (PCa) from micro-ultrasound (micro-US) could expedite triage and guide biopsies toward the most aggressive regions, yet current models struggle to infer tissue micro-struct...
A usability-driven workflow for virtual fracture reduction using an open platform with ICP [0.03%]
一种使用开放式平台进行虚拟骨折复位的以用户为中心的工作流程（包含ICP）
Costanza Manfredi,Gabriele Vanni,Marina Carbone et al.
Costanza Manfredi et al.
Purpose: Virtual surgical planning can support fracture reduction, but its routine use remains limited by the time and interaction burden associated with manually manipulating fragments in six degrees of freedom. This wor...
Noise levels in tele-operated robotic-assisted surgery-a phase-based analysis [0.03%]
基于阶段的分析在机器人辅助的远程手术中的噪声水平研究
Fuchtmann Jonas,Jell Alissa,Berlet Maximilian et al.
Fuchtmann Jonas et al.
Purpose: Robotic-assisted surgery (RAS) is becoming increasingly popular with one of its praised benefits being improved ergonomics. While other types of interventions like open or laparoscopic surgery have been assessed ...
Ultrasound-guided real-time spinal motion visualization for spinal instability assessment [0.03%]
超声实时引导脊柱运动成像技术在脊柱不稳定评估中的应用
Feng Li,Yuan Bi,Tianyu Song et al.
Feng Li et al.
Purpose: Spinal instability is a widespread condition that causes pain, fatigue, and restricted mobility, profoundly affecting patients' quality of life. In clinical practice, the gold standard for diagnosis is dynamic X-...
Promptable segmentation with region exploration enables minimal-effort expert-level prostate cancer delineation [0.03%]
利用区域探索的可提示分割技术实现最小化努力的专业级前列腺癌勾画
Junqing Yang,Natasha Thorley,Ahmed Nadeem Abbasi et al.
Junqing Yang et al.
Purpose: Accurate segmentation of prostate cancer on magnetic resonance (MR) images is crucial for planning image-guided interventions such as targeted biopsies, cryoablation, and radiotherapy. However, subtle and variabl...
A clinically and technologically practicable navigation system for robotic sacrocolpopexy [0.03%]
一种临床和技术上可行的机器人骶骨网片悬吊导航系统
Gabriele Vanni,Anna Furiesi,Andrea Giannini et al.
Gabriele Vanni et al.
Purpose: Pelvic organ prolapse is characterized by the descent of one or more pelvic organs toward the vaginal canal. Surgical correction through sacrocolpopexy requires precise mesh anchoring to the sacral promontory, wh...
Cogninet: an explainable deep learning model for multi-class MRI-based Alzheimer's disease staging [0.03%]
Cogninet：一种基于多分类MRI的可解释深度学习模型用于阿尔茨海默病分期
Treeve White,Sareh Rowlands
Treeve White
Purpose: Alzheimer's Disease (AD) is a neurodegenerative condition which presents significant challenges in early diagnosis and clinical decision-making. This paper seeks to address key limitations in existing research-na...
TwinOR: photorealistic digital twins of dynamic operating rooms for embodied AI research [0.03%]
TwinOR：用于具身人工智能研究的动态手术室的超现实数字孪生
Han Zhang,Yiqing Shen,Roger D Soberanis-Mukul et al.
Han Zhang et al.
Purpose: Developing embodied AI for intelligent surgical systems requires safe, controllable environments for continual learning and evaluation. However, safety regulations and operational constraints in operating rooms (...
Deep learning for pediatric synovial recess distension detection in hemophilia: synthetic image augmentation with styleGAN2-ADA [0.03%]
基于风格迁移生成对抗网络的合成图像增强在血友病患儿滑膜腔积血筛查中的深度学习应用研究
Noushin Jafarpisheh,Johannes Roth,Boris Hugle et al.
Noushin Jafarpisheh et al.
Purpose: Pediatric musculoskeletal ultrasound (MSKUS) datasets are scarce, especially for rare, sex-linked conditions such as hemophilia. Models trained on adult data have limited generalizability due to anatomical differ...