Nons=moker Dave Nitsche shares his journey of resilience and determination after a stage 4 lung cancer diagnosis.

Researchers assessed the extent to which new or growing nodules detected on follow-up rounds of LDCT lung cancer screening indicated the risk for malignancy.

A model integrating deep learning with clinical and epidemiologic data may significantly improve lung cancer risk prediction based on LDCT screening.

This article serves as a foundational study for the Noah Medical deep-dive series, aiming to help investors establish a core framework for assessing value in the medical robotics industry. HONG KONG, ...

Screening rules are too narrow and keep patients from receiving care until it’s too late, say many Boston-area researchers ...

It's the deadliest cancer in the US, killing about 125,000 annually. As more fit, healthy people receive the devastating ...

Abstract: Early and precise detection of pulmonary nodules is crucial for improving the diagnosis and treatment outcomes of lung cancer. However, manual reading of traditional CT images has ...

Background: The detection of pulmonary nodules (PNs) has increased with the use of low-dose computed tomography screening. Effective management requires timely longitudinal surveillance and reliable ...

To support clinical decision making, a narrative review published in Cureus walked through current evidence on analgesic strategies to curb postoperative pain in patients undergoing resection for lung ...

(PUEBLO, Colo.) — UCHealth Parkview Medical Center said a new robotic biopsy system could detect lung cancer earlier in ...

Accurate preoperative localization is crucial to improving the success rates of thoracoscopic surgery and minimizing postoperative complications. Hook-wire localization can be inaccurate when marking ...