Latest AI and machine learning research in pulmonology for healthcare professionals.
The convergence of the Internet of Things (IoT) with e-health records is creating a new era of advan...
Lung cancer (LC) is a life-threatening and dangerous disease all over the world. However, earlier di...
BACKGROUND: Mechanical ventilation (MV) is vital for critically ill ICU patients but carries signifi...
The current study aimed to predict lymphovascular invasion (LVI) using multiple machine learning alg...
BACKGROUND AND PURPOSE: To evaluate the impact of a deep learning (DL)-assisted interactive contouri...
OBJECTIVES: Although neoadjuvant immunochemotherapy has been widely applied in non-small cell lung c...
Cancer seems to have a vast number of deaths due to its heterogeneity, aggressiveness, and significa...
This work proposes a novel technique called Enhanced JAYA (EJAYA) assisted Q-Learning for the classi...
BACKGROUND: In oncology, electronic health records contain textual key information for the diagnosis...
BACKGROUND: Dental radiology has significantly benefited from cone-beam computed tomography (CBCT) b...
Various forms of programmed cell death (PCD) collectively regulate the occurrence, development and m...
Lung adenocarcinoma (LUAD) poses significant challenges due to its complex biological characteristic...
BACKGROUND: Asthma, a prevalent chronic inflammatory disorder, is shaped by a multifaceted interplay...
INTRODUCTION: Development of asthma and allergies in childhood/adolescence commonly follows a sequen...
OBJECTIVE: To explore the differences and associations of hypoxic parameters among distinct types of...
The use of artificial intelligence (AI) in high-resolution computed tomography (HRCT) for diagnosing...
BACKGROUND: With the rapid increase of chest computed tomography (CT) images, the workload faced by ...
The epidemic diseases such as COVID-19 are rapidly spreading all around the world. The diagnosis of ...
INTRODUCTION: Artificial intelligence image recognition has applications in clinical practice. The p...
BACKGROUND: Global pediatric healthcare reveals significant morbidity and mortality rates linked to ...
PURPOSE: To develop and compare 3 different machine learning-based models of clinical information an...