Results 101 to 110 of about 288,270 (313)

Introducing PNEUMA: A Hybrid Soft Pneumatic Fabric Bidirectional Actuation Module for Wearable Robotics

Advanced Robotics Research, EarlyView.
This study presents a soft pneumatic fabric bidirectional actuation module (PNEUMA) capable of generating high torque in both bending directions within a single integrated architecture. PNEUMA achieves up to 50 Nm with reduced inflation volume and a lightweight design.
Odysseas Simatos, Nikolaos Charalampous, Panagiotis Polygerinos   +2 more
wiley   +1 more source

EndoClean: A Hybrid Deep Learning Framework for Automated Full-Video Boston Bowel Preparation Scale Assessment

Bioengineering
Background and Aims: Adequate bowel preparation is the cornerstone of high-quality colonoscopy. The Boston Bowel Preparation Scale (BBPS) is the gold standard for assessment, yet its application suffers from inter-observer variability and lacks a fully ...
Yan Zhu, Si-Yuan Li, Pei-Yao Fu, Zhen Zhang, Shuo Wang, Quan-Lin Li, Ping-Hong Zhou   +6 more
doaj   +1 more source

A Low‐Cost, Handheld Optical Stiffness Sensor for Minimally Invasive Surgery

Advanced Robotics Research, EarlyView.
A novel handheld stiffness sensor is presented for real‐time tissue stiffness characterization. By simultaneously sensing contact force and tissue deformation, the device enables accurate stiffness quantification without requiring precise manual control. This approach offers a promising solution for intraoperative tumor detection and minimally invasive
Qianyu Ma, Ruxiang Jiang, Kaspar Althoefer, Nicolas Herzig, Hareesh Godaba   +4 more
wiley   +1 more source

Eye-tracking dataset of endoscopist-AI teaming during colonoscopy: Retrospective and real-time acquisition

Scientific Data
Recent studies have demonstrated that integrating AI into colonoscopy procedures significantly improves the adenoma detection rate (ADR) and reduces the adenoma miss rate (AMR).
Yan Zhu, Rui-Jie Yang, Pei-Yao Fu, Zhen Zhang, Yi-Zhe Zhang, Quan-Lin Li, Shuo Wang, Ping-Hong Zhou   +7 more
doaj   +1 more source

Learning curve of capsule endoscopy

, 2018
Capsule endoscopy; Learning ...
김성은
core   +1 more source

Intelligent Micro/Nanorobots for Targeted Interventional Therapy: From Bench to Clinic

Advanced Robotics Research, EarlyView.
Zirui Zhang et al. reviewed the application and challenges of mobile nanomachines in interventional therapy. By converting exogenous energy, including chemical, magnetic, optical, and ultrasonic sources, into mechanical forces, micro/nanorobots (MNRs) enable precise actuation at unprecedented scales. Evolving far beyond traditional drug delivery, these
Zirui Zhang, Yu Dong, Yongsheng Du, Rui Gao, Lin Zhang, Fei Tong   +5 more
wiley   +1 more source

An Automated Video Analysis System for Retrospective Assessment and Real-Time Monitoring of Endoscopic Procedures (with Video)

Bioengineering
Background and Aims: Accurate recognition of endoscopic instruments facilitates quantitative evaluation and quality control of endoscopic procedures. However, no relevant research has been reported.
Yan Zhu, Ling Du, Pei-Yao Fu, Zi-Han Geng, Dan-Feng Zhang, Wei-Feng Chen, Quan-Lin Li, Ping-Hong Zhou   +7 more
doaj   +1 more source

Flexible Sensors for Robotics Tactile Perception: A Review

Advanced Robotics Research, EarlyView.
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley   +1 more source

Upper Endoscopy, Endoscopic Ultrasound or Computer Tomography?

, 2016
The majority of foregut subepithelial lesions (SEL) are discovered incidentally during endoscopy or cross-sectional imaging. Consensus guidelines recommend performing EUS to further characterize and sample SELs.
Murad, Faris, Hollander, Thomas G., Kushnir, Vladimir M., Mullady, Daniel, Azar, Riad R., Kohlmeier, Cara, Early, Dayna S., Edmundowicz, Steven A.   +7 more
core   +1 more source

A Whole‐Head Finite Element Model for Electrical Neuromodulation via Visual Brain‐Machine Interfaces

Advanced Science, EarlyView.
A multimodal, personalized head model is presented that integrates the entire visual pathway with surrounding tissues to simulate electrical stimulation of the optic nerve. In vivo validation in humans and goats, plus systematic component‐elimination analysis, demonstrates the high accuracy of the comprehensive model.
Shengjian Lu, Tonghe Yang, Yuan Geng, Huan Wu, Yangrui Huang, Te Zheng, Haodi Chen, Shurui Huang, Yi Cao, Jian Yang, Wentao Yan, Yikui Zhang, Wencan Wu   +12 more
wiley   +1 more source