Latest AI and machine learning research in pulmonology for healthcare professionals.
RATIONALE AND OBJECTIVES: Artificial intelligence (AI) algorithms in radiology capable of detecting ...
Artificial Intelligence is playing a crucial role in healthcare by enhancing decision-making and dat...
Acute respiratory infections (ARIs) represent a significant global health burden, contributing to hi...
There is a clinical need to develop lipid nanoparticles (LNPs) to deliver congenital therapies to th...
Respiratory disorders are commonly regarded as complex disorders to diagnose due to their multi-fact...
PURPOSE: Although noninvasive tests can be used to predict liver fibrosis, their accuracy is limited...
Traditional antiviral peptide (AVP) discovery is a time-consuming and expensive process. This study ...
Drug-resistant tuberculosis (DR-TB) and HIV coinfection present a conundrum to public health globall...
We aimed to evaluate the image quality and diagnostic performance of chronic lung allograft dysfunct...
BACKGROUND AND OBJECTIVE: Low-dose computed tomography (LDCT) screening has shown promise in reducin...
Heart failure remains one of the leading causes of mortality and hospitalizations in the US that not...
We developed a multimodal ultrasound (US) deep learning (DL) fusion model to automatically classify ...
Convolutional Neural Network (CNN)-based models are prone to adversarial attacks, which present a si...
INTRODUCTION: This study aimed to evaluate the role of deep learning methods in diagnosing foreign b...
The present study was designed to test the potential utility of regional cerebral oxygen saturation ...
INTRODUCTION: Simulation-based training has proven effective for learning flexible bronchoscopy. How...
A seven-year-old girl was referred for the treatment of her primary teeth. An inferior alveolar nerv...
Lung cancer continues to be the leading cause of cancer-related mortality worldwide. Early detection...
Lung cancer is one of the most prevalent and lethal cancers. To improve health outcomes while reduci...
Despite advancements in detection and treatment, tuberculosis (TB), an infectious illness caused by ...
Causal inference-assisted machine learning was used to predict photosynthetic bacterial (PSB) protei...