AIMC Topic: Bronchi
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AI search, physician removal: Bronchoscopy robot bridges collaboration in foreign body aspiration.
Science robotics
Jul 30, 2025
Bronchial foreign body aspiration is a life-threatening condition with a high incidence across diverse populations, requiring urgent diagnosis and treatment. However, the limited availability of skilled practitioners and advanced medical equipment in...
Normative values for lung, bronchial sizes, and bronchus-artery ratios in chest CT scans: from infancy into young adulthood.
European radiology
Feb 1, 2025
OBJECTIVE: To estimate the developmental trends of quantitative parameters obtained from chest computed tomography (CT) and to provide normative values on dimensions of bronchi and arteries, as well as bronchus-artery (BA) ratios from preschool age t...
BCNet: Bronchus Classification via Structure Guided Representation Learning.
IEEE transactions on medical imaging
Jan 2, 2025
CT-based bronchial tree analysis is a key step for the diagnosis of lung and airway diseases. However, the topology of bronchial trees varies across individuals, which presents a challenge to the automatic bronchus classification. To solve this issue...
Prognostic value of a composite physiologic index developed by adding bronchial and hyperlucent volumes quantified via artificial intelligence technology.
Respiratory research
Dec 24, 2024
BACKGROUND: The composite physiologic index (CPI) was developed to estimate the extent of interstitial lung disease (ILD) in idiopathic pulmonary fibrosis (IPF) patients based on pulmonary function tests (PFTs). The CALIPER-revised version of the CPI...
Artificial intelligence-assisted quantitative CT analysis of airway changes following SABR for central lung tumors.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Jun 8, 2024
INTRODUCTION: Use of stereotactic ablative radiotherapy (SABR) for central lung tumors can result in up to a 35% incidence of late pulmonary toxicity. We evaluated an automated scoring method to quantify post-SABR bronchial changes by using artificia...
Artificial Intelligence Improves Novices' Bronchoscopy Performance: A Randomized Controlled Trial in a Simulated Setting.
Chest
Aug 23, 2023
BACKGROUND: Navigating through the bronchial tree and visualizing all bronchial segments is the initial step toward learning flexible bronchoscopy. A novel bronchial segment identification system based on artificial intelligence (AI) has been develop...
Console and bedside surgeon fused robot-assisted thoracic surgery.
General thoracic and cardiovascular surgery
Jul 31, 2023
In the last decade, even thoracic surgery has seen an increase in the use of robotic surgical systems, and robot-assisted thoracic surgery (RATS) is considered one of the main issues. While RATS is associated with solo manipulative freedom and high-d...
Systematic Bronchoscopy: the Four Landmarks Approach.
Journal of visualized experiments : JoVE
Jun 23, 2023
Flexible bronchoscopy is a technically difficult procedure and has been identified as the most important procedure that should be integrated into a simulation-based training program for pulmonologists. However, more specific guidelines that govern br...
Reproducibility of a combined artificial intelligence and optimal-surface graph-cut method to automate bronchial parameter extraction.
European radiology
Apr 18, 2023
OBJECTIVES: Computed tomography (CT)-based bronchial parameters correlate with disease status. Segmentation and measurement of the bronchial lumen and walls usually require significant manpower. We evaluate the reproducibility of a deep learning and ...
TNN: Tree Neural Network for Airway Anatomical Labeling.
IEEE transactions on medical imaging
Dec 29, 2022
Detailed anatomical labeling of bronchial trees extracted from CT images can be used as fine-grained maps for intra-operative navigation. To cater to the sparse distribution of airway voxels and large class imbalance in 3D image space, a graph-neural...
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