Latest AI and machine learning research in pulmonology for healthcare professionals.
BACKGROUND: Unlike patients with lung adenocarcinoma, patients with lung squamous cell carcinoma (LU...
RATIONALE AND OBJECTIVES: To develop an interpretable deep learning (XDL) model based on superb micr...
In this paper, we introduce a novel concordance-based predictive uncertainty (CPU)-Index, which inte...
Classifying lung cancer subtypes, which are characterized by multi-microRNAs (miRNAs) upregulation, ...
BACKGROUND: Recent studies in the field of lung cancer have emphasized the important role of body co...
RATIONALE AND OBJECTIVES: To comprehensively assess the feasibility of low-dose computed tomography ...
Interstitial lung disease (ILD), characterized by inflammation and fibrosis, often suffers from low ...
BACKGROUND: Novel circulating markers for the non-invasive staging of chronic liver disease (CLD) ar...
BACKGROUND: The effects of camel milk in inflammation and systemic oxidative stress of cigarette smo...
Accurate prediction of influent parameters such as chemical oxygen demand (COD) and biochemical oxyg...
BACKGROUND: Stroke-associated Hospital Acquired Pneumonia (HAP) significantly impacts patient outcom...
OBJECTIVE: The mandibular canal (MC) houses the inferior alveolar nerve. Extraction of the mandibula...
BACKGROUND: Children with autoimmune liver disease (AILD) may develop fibrosis-related complications...
INTRODUCTION: Heart failure is a leading global cause of mortality, with ischemic heart failure (IHF...
BACKGROUND: Postoperative pneumonia, a prevalent form of hospital-acquired pneumonia, poses signific...
This scoping review summarizes two emerging electrical impedance technologies: electrical impedance ...
As nanotechnology advances, metal oxide nanoparticles (MeONPs) increasingly come into contact with h...
Tuberculosis has plagued mankind since ancient times, and the struggle between humans and tuberculos...
Due to the broad-spectrum and high-efficiency antibacterial activity, antimicrobial peptides (AMPs) ...
To assess the feasibility of utilizing a large language model (LLM) in extracting clinically relevan...
Drowning incidents present significant challenges for forensic investigators in determining the exac...