Latest AI and machine learning research in pulmonology for healthcare professionals.
OBJECTIVES: To provide proof-of-concept for a protocol applying a strategy of personalized mechanica...
Objective: Lung cancer is a type of malignancy that occurs most commonly among men and the third mos...
EsxA is an essential virulence factor for Mycobacterium tuberculosis (Mtb) pathogenesis as well as a...
PURPOSE: To explore the feasibility and performance of machine learning-based radiomics classifier t...
BACKGROUND: In this study, we aimed to compare serum biochemical markers in patients with malignant ...
This article investigates the classification of normal and COPD subjects on the basis of respiratory...
In this study, we found that machine learning was able to effectively estimate student learning outc...
A 34-year-old woman with history of surgical correction (Takeuchi procedure) of anomalous left coron...
BACKGROUND: Radiotherapy continues to be delivered uniformly without consideration of individual tum...
BACKGROUND AND OBJECTIVE: Wheezing is a common symptom of patients caused by asthma and chronic obst...
OBJECTIVE: Birth asphyxia is a major newborn mortality problem in low-resource countries. Internatio...
OBJECTIVE: Time-sensitive communication of critical imaging findings like pneumothorax or pulmonary ...
The approximity of the inferior alveolar nerve (IAN) to the roots of lower third molars (M3) is a ri...
The classification of benign and malignant lung nodules has great significance for the early detecti...
BACKGROUND: Spirometry is conventionally used to diagnose airway diseases in children with sickle ce...
Background Intratumor heterogeneity in lung cancer may influence outcomes. CT radiomics seeks to ass...
Influenza type A, a serious infectious disease of the human respiratory tract, poses an enormous thr...
PURPOSE: The use of neural networks to directly predict three-dimensional dose distributions for aut...
BACKGROUND: This study aims to investigate the effect of ventilation of the non-ventilated lung in p...
Artificial intelligence (AI) has been present in some guise within the field of radiology for over 5...
A novel method to detect and classify several classes of diseased and healthy lung tissue in CT (Com...