Latest AI and machine learning research in pulmonology for healthcare professionals.
PURPOSE: Sybil is a validated publicly available deep learning-based algorithm that can accurately p...
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 ...
Lung cancer (LC) is a significant global health issue, with smoking as the most common cause. Recent...
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 is one of the most prevalent and lethal cancers. To improve health outcomes while reduci...
Lung cancer continues to be the leading cause of cancer-related mortality worldwide. Early detection...
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...
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has evolved many high-risk variants...
In the pursuit of understanding surface water quality for sustainable urban management, we created a...
BACKGROUND: Severe asthma, which differs significantly from typical asthma, involves specific molecu...
The proliferation, metastasis, and drug resistance of cancer cells pose significant challenges to th...
OBJECTIVE: The asymptomatic nature of tuberculosis (TB) during its latent phase, combined with limit...
OBJECTIVE: The aim of this study was to assess the effectiveness of a deep learning-based image cont...