Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans.

Background: Outside a screening program, early-stage lung cancer is generally diagnosed after the detection of incidental nodules in clinically ordered chest CT scans. Despite the advances in artificial intelligence (AI) systems for lung cancer detection, clinical validation of these systems is lacking in a non-screening setting.

Method: We developed a deep learning-based AI system and assessed its performance for the detection of actionable benign nodules (requiring follow-up), small lung cancers, and pulmonary metastases in CT scans acquired in two Dutch hospitals (internal and external validation).

Sputum Induction in Children Is Feasible and Useful in a Bustling General Hospital Practice.

We prospectively studied the feasibility and effectiveness of sputum induction in obtaining good quality sputum and its subsequent bacterial yield in children with clinically suspected acute lower-respiratory-tract infection (aLRTI). Good quality sputum was collected in 89/98 (91%) patients. Sputum cultures revealed ≥1 bacterial pathogens in 22 cases (25%).