Results 231 to 240 of about 88,493 (347)

A Soft‐Tip Hydraulically Steerable Catheter for Enhanced Flexibility and Safety in Vascular Interventions

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a hydraulically steerable catheter with a soft tip in vascular procedures. The steering soft tip achieves a minimal diameter of 2.6 mm and supports a 180° bend. Real‐time shape and position tracking, facilitated by segmentation and endpoint detection techniques, improves navigation.
Jingyi Kang   +9 more
wiley   +1 more source

Quadrifurcation of the Facial Artery Near the Inferior Mandibular Border with a Bilateral Premasseteric Artery Component. [PDF]

open access: yesIndian J Otolaryngol Head Neck Surg
Piagkou M   +7 more
europepmc   +1 more source

Lower eyelid fornix deepening: A new indication for the facial artery myomucosal flap. [PDF]

open access: yesArch Plast Surg, 2021
Saad AZM   +5 more
europepmc   +1 more source

The effects of halothane and isoflurane on cardiovascular function in laterally recumbent horses [PDF]

open access: yes, 2005
A.L. Raisis   +38 more
core   +1 more source

Torque‐Transmitting Architected Metamaterials for Flexible and Extendable Tubular Robotics

open access: yesAdvanced Intelligent Systems, EarlyView.
Soft and continuum robots commonly rely on fluid, tendon, or rod‐based power transmissions, to control robotic form and actuation. This study presents an architected structure, based on patterned straight‐line mechanisms, that enables simultaneous bending, extending, and torsionally rigid (BETR) transmission.
Sawyer Thomas, Aman Garg, Jeffery Lipton
wiley   +1 more source

Data Sheet 3_An explainable dual-modal diagnostic model for coronary artery disease: a feature-gated approach using tongue and facial image features.csv

open access: green
Mei Zhao (177004)   +6 more
openalex   +1 more source

IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi   +7 more
wiley   +1 more source

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