Harnessing Foundation Models for Robust and Generalizable 6-DOF Bronchoscopy Localization [PDF]
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
A Case of Foreign Body in the Left Bronchus, Removed by Lower (Tracheal) Bronchoscopy [PDF]
J.S. Fraser
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Classification of lung nodules in CT images based on Wasserstein distance in differential geometry [PDF]
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
REMOVAL OF PART OF A SAFETY-PIN FROM THE BRONCHUS OF A CHILD BY PERORAL BRONCHOSCOPY [PDF]
D. A. Crow
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Proof of concept: Shape-sensing robotic-assisted bronchoscopy performed under moderate sedation
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]
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
Discussion on the Value of Bronchoscopy in Diagnosis and Treatment [PDF]
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A Deep Learning-Driven Inhalation Injury Grading Assistant Using Bronchoscopy Images [PDF]
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