The ION robotic bronchoscopy system lets doctors navigate a thin catheter deep into the lungs to reach tiny nodules that were ...

Screening for disease, including cancer, can cause harm —during screening, diagnosis and treatment. With lung cancer ...

Radiologists are studying how artificial intelligence might help them catch lung cancer nodules at an earlier stage.

Lung cancer has the highest mortality rate in Australia but now, a groundbreaking medical machine could be the key to early detection.

Navigational bronchoscopy showed similar accuracy to needle biopsy for diagnosing lung nodules, with a markedly lower risk of pneumothorax and related complications.

Introduction The promise of benefits from lung cancer screening is tempered by the false positive rate and the need to perform diagnostic procedures to determine the aetiology of the solitary ...

Objectives To examine the accuracy and impact of artificial intelligence (AI) software assistance in lung cancer screening using CT. Methods A systematic review of CE-marked, AI-based software for ...

ObjectiveTo assess extracellular vesicle microRNAs detection in predicting malignant and benign pulmonary ground glass nodules (GGNs).MethodsA retrospective ...

SAN FRANCISCO — Navigational bronchoscopy was noninferior to CT-guided biopsy when assessing diagnostic accuracy in patients with lung nodules, according to findings published in The New England ...

As pulmonary nodule detection continues to rise, optimizing localization techniques is critical for improving surgical precision and patient safety. Researchers evaluated 203 patients who underwent ...

The process typically involves lobe segmentation, extracting candidate nodules, and classifying nodules as either cancer or non-cancer. The proposed lung cancer classification uses modified U-Net ...

We implement a detection framework on the simulated EI environment following an existing adaptive synchronization strategy based on data sharing and median loss function. On 1304 scans of the merged ...