Latest AI and machine learning research in pulmonology for healthcare professionals.
This study sought to characterize images of cancer patients generated by Artificial Intelligence (AI) text-to-image tools, and assess whether images differed by cancer type or AI tool, to elucidate the potential implications of using AI-generated images in health communication. Two generative AI-based tools, DALL-E and Stable Diffusion, were prompted to produce images of a "cancer patient," "breas...
BACKGROUND: Incidental pulmonary emboli (IPE) are frequently overlooked by radiologists. Artificial intelligence (AI) algorithms have been developed to aid detection of pulmonary emboli. OBJECTIVES: To measure diagnostic performance of AI compared with prospective interpretation by radiologists. METHODS: A commercially available AI algorithm was used to retrospectively review 14 453 contrast-enhan...
Accurate and early diagnosis of Alzheimer's Disease (AD) is crucial for timely interventions and treatment advancement. Functional Magnetic Resonance ...
BACKGROUND & AIMS: Fibrosis stage is a key determinant of outcomes in metabolic dysfunction-associated steatohepatitis (MASH). Assessment of fibrosis ...
BACKGROUND: Equine asthma is a prevalent respiratory disease that negatively impacts horses' health and athletic performance. Traditional diagnostic m...
The systematic literature review was performed on the use of artificial intelligence (AI) algorithms in nonsmall cell lung cancer (NSCLC) prognosticat...
PURPOSE OF REVIEW: Interstitial lung disease (ILD) presents significant diagnostic and therapeutic challenges due to underlying biological heterogenei...
Treating pulmonary diseases is pivotal in healthcare since they are the third leading cause of mortality globally. To aid medical experts in diagnosis...
BACKGROUND: Mycobacterium tuberculosis (MTB) is a human-specific pathogen that primarily infects humans, causing tuberculosis (TB). Antimicrobial resi...
Chronic obstructive pulmonary disease (COPD) is a heterogeneous condition with complicated structural and functional impairments. For decades now, che...
The oxygen evolution reaction (OER) is a key bottleneck in clean energy conversion due to sluggish kinetics and high overpotentials. Transition metal ...
Right ventricular dysfunction (RVD) is strongly associated with increased mortality in patients with acute pulmonary embolism (PE), making its early d...
BACKGROUND: Pulmonary nodules seen by computed tomography (CT) can be benign or malignant, and early detection is important for optimal management. Th...
In recent years, smart textiles and flexible wearable products have garnered significant attention in fields such as human-computer interaction, medic...
OBJECTIVE: Asthma is the most common chronic disease of childhood, characterized by symptoms such as wheezing, shortness of breath, and coughing. With...
PURPOSE: While data-driven motion correction (DDMC) techniques have proven to enhance the visibility of lesions affected by motion, their impact on ov...
Lung cancer is a prevalent and lethal malignancy characterised by the uncontrolled growth of abnormal cells in lung tissues, often leading to function...
The rapid and accurate detection of COVID-19 (coronavirus disease 2019) from normal and pneumonia chest x-ray images is essential for timely diagnosis...
This study presents FCRNet, a Fast Fourier Convolution Residual Network, tailored for fault diagnosis of mine ventilation bearings under complex opera...
. Artificial intelligence (AI) tools for evaluating low-dose CT (LDCT) lung cancer screening examinations are used predominantly for assisting radiolo...