Latest AI and machine learning research in pulmonology for healthcare professionals.
UNLABELLED: Smear microscopy remains widely used for tuberculosis (TB) diagnosis due to its rapid tu...
BACKGROUND: Artificial intelligence (AI) is emerging as a critical tool for nurse practitioners deli...
The influenza viruses (IVs) are major public health risk, causing immense seasonal infections, sever...
Septic cardiomyopathy is a common early complication of sepsis, and its underlying mechanisms remain...
Bone and soft tissue tumors (BSTTs) are prone to metastasize to the lungs to form pulmonary nodules,...
Lung carcinoma is regarded as lung cancer and is the usual form of cancers worldwide. It cannot be d...
BACKGROUND: The relationship between NEK7-NLRP3 inflammasome activation and elevated platelet activi...
BACKGROUND: The homeless population in Bogotá exhibits complex social and health vulnerabilities, wi...
Breath analysis is emerging as a non-invasive and promising diagnostic approach capable of assessing...
AIM: The aim of this study was to accurately position the scan range of unenhanced chest computed to...
Postoperative pulmonary infection (PPI) after esophageal cancer surgery occurs frequently and severe...
In the diagnosis of pediatric pneumonia, the weak conductivity contrast of lung tissues leads to lim...
PURPOSE: Early radiation-induced lung injury remains a clinically relevant complication after thorac...
The complexity of nanoparticle toxicity necessitates applying machine learning to large toxicologica...
OBJECTIVE: Exposure to benzo(a)pyrene (BaP) negatively affects lung inflammation in patients with as...
Generative artificial intelligence (AI) is rapidly emerging as a valuable tool in medicine, with inc...
Accurate prediction of detonation performance is a critical challenge in the design and screening of...
OBJECTIVES: To develop and validate the Q-Bone system, an intelligent quantitative system for anatom...
PURPOSE: This paper seeks to improve the reliability and quality of operation of the critical medica...
Accurate prognostication in the intensive care unit (ICU) is essential for delivering personalized a...
OBJECTIVE: To assess the budget impact of incidental pulmonary nodule (IPN) detection using an artif...