Latest AI and machine learning research in pulmonology for healthcare professionals.
PURPOSE: Pulmonary hypertension (PH) is a complex disease classified into five groups (I-V) by the E...
Auscultation is a method that involves listening to sounds from the patient's body, mainly using a s...
Chronic Obstructive Pulmonary Disease (COPD) is a chronic lung condition characterized by airflow ob...
New drug development is a very challenging, expensive, and usually time-consuming process. This issu...
Although pulmonary vein isolation (PVI) has become the cornerstone ablation procedure for atrial fib...
PURPOSE: B-lines in lung ultrasound have been a critical clue for detecting pulmonary edema. However...
STUDY OBJECTIVE: The aim of this study was to investigate whether goal-directed treatment using arti...
With the ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its i...
BACKGROUND: Investigations into the intricacies of glycosylation modifications, a prevalent post-tra...
BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) represents a significant global health chal...
BACKGROUND: Online health communities (OHCs) enable people with long-term conditions (LTCs) to excha...
INTRODUCTION: To investigate the accuracy of an artificial intelligence (AI) prototype in determinin...
PURPOSE OF REVIEW: Critically ill children admitted to the intensive care unit frequently need respi...
BACKGROUND & AIMS: The relationship between biopsy-proven liver fibrosis progression and renal funct...
BACKGROUND: Tuberculous pleural effusion (TPE) is a challenging extrapulmonary manifestation of tube...
Lung cancer is the leading cause of cancer-related deaths worldwide, primarily due to late-stage det...
Lung cancer is the leading cause of global cancer-related deaths, which emphasizes the critical impo...
The variability in image modalities presents significant challenges in medical image classification,...
UNLABELLED: The escalating therapeutic use of methadone has coincided with an increase in accidental...
This study aims to apply a multi-modal approach of the deep learning method for survival prediction ...
This paper presents a supervised contrastive learning (SCL) framework for respiratory sound classifi...