Latest AI and machine learning research in pulmonology for healthcare professionals.
BACKGROUND: The integration of machine learning (ML) algorithms enables the detection of diffusion a...
BACKGROUND: Montelukast(MTK) is a leukotriene receptor antagonist widely used clinically for treatin...
This study utilized multiomics combined with a comprehensive machine learning-based predictive model...
This study focuses on automating the classification of certain thoracic lung cancer stages in 3D FDG...
Once deployed, medical image analysis methods are often faced with unexpected image corruptions and ...
Medical oxygen concentrators are vital apparatuses that deliver supplemental oxygen to persons with ...
INTRODUCTION: Choosing the right biologic for the right patient is challenging. It requires evaluati...
The papain-like protease (PLpro), a cysteine protease found in severe acute respiratory syndrome cor...
Hoarseness and dysphonia caused by vocal cord conditions or laryngeal surgeries significantly hinder...
BACKGROUND: Indeterminate pulmonary nodules (IPNs) are commonly biopsied to ascertain a diagnosis of...
INTRODUCTION: Enhancing paediatric asthma diagnosis is crucial. Molecular analysis of exhaled breath...
OBJECTIVE: New, intermediate-sized nodules in lung cancer screening undergo follow-up CT, but some o...
Accurate diagnosis of adult Spirometra mansoni infections remains challenging, due to the limited se...
This study evaluated the effectiveness of an integrated Artificial Intelligence (AI) planning tool i...
Fast and accurate organ-at-risk (OAR) and gross tumor volume (GTV) contour propagation methods are n...
BACKGROUND: With the increasing prevalence of patients on home mechanical ventilation (HMV), changin...
PURPOSE: To develop a high-performance machine learning model for predicting and interpreting featur...
OBJECTIVE: The heterogeneity of machine learning (ML) models predicting the risk of stroke-associate...
() is an oral commensal bacterium that can become pathogenic and is associated with periodontitis, ...
Dynamic changes occurring in the lung microbiota can impact the initiation, progression, and prognos...
Clinical decision-making is inherently complex, time-sensitive, and prone to error. AI-enabled clini...