Results 61 to 70 of about 71,860 (187)

Harnessing Foundation Models for Robust and Generalizable 6-DOF Bronchoscopy Localization [PDF]

open access: yesarXiv
Vision-based 6-DOF bronchoscopy localization offers a promising solution for accurate and cost-effective interventional guidance. However, existing methods struggle with 1) limited generalization across patient cases due to scarce labeled data, and 2) poor robustness under visual degradation, as bronchoscopy procedures frequently involve artifacts such
arxiv  

ANÆSTHESIA FOR BRONCHOSCOPY [PDF]

open access: bronze, 1954
R. R. Macintosh
openalex   +1 more source

Value of Bronchoscopy in Clinical Practice [PDF]

open access: green, 1958
A.R. Somner   +4 more
openalex   +1 more source

Classification of lung nodules in CT images based on Wasserstein distance in differential geometry [PDF]

open access: yesarXiv, 2018
Lung nodules are commonly detected in screening for patients with a risk for lung cancer. Though the status of large nodules can be easily diagnosed by fine needle biopsy or bronchoscopy, small nodules are often difficult to classify on computed tomography (CT).
arxiv  

Proof of concept: Shape-sensing robotic-assisted bronchoscopy performed under moderate sedation

open access: yesRespiratory Medicine Case Reports, 2023
We describe a first reported case of shape-sensing robotic-assisted bronchoscopy using ION-intuitive platform done successfully under moderate sedation. A 76-year-old woman was found to have a right upper lobe mass measuring 3 × 2.9 cm.
Elio Donna, Steven Wu, Sixto Arias
doaj  

BronchoCopilot: Towards Autonomous Robotic Bronchoscopy via Multimodal Reinforcement Learning [PDF]

open access: yesarXiv
Bronchoscopy plays a significant role in the early diagnosis and treatment of lung diseases. This process demands physicians to maneuver the flexible endoscope for reaching distal lesions, particularly requiring substantial expertise when examining the airways of the upper lung lobe.
arxiv  

A Deep Learning-Driven Inhalation Injury Grading Assistant Using Bronchoscopy Images [PDF]

open access: yesarXiv
Inhalation injuries present a challenge in clinical diagnosis and grading due to Conventional grading methods such as the Abbreviated Injury Score (AIS) being subjective and lacking robust correlation with clinical parameters like mechanical ventilation duration and patient mortality.
arxiv  

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