Latest AI and machine learning research in asthma for healthcare professionals.
OBJECTIVE: To identify the most influential features of asthma control in children and to assess whether feature selection improves model performance. METHODS: Records of 890 patients (<18 years) from the Immunology, Asthma, and Allergy Research Institute, Children's Medical Center, Tehran (2013-2018) were analyzed. The binary outcome was asthma control (controlled vs uncontrolled). Eighty-three c...
Lung sound analysis is critical for diagnosing respiratory diseases such as asthma, bronchiectasis, bronchiolitis, COPD, LRTI, pneumonia, and URTI. Traditional diagnostic methods rely heavily on physicians' expertise, making them time-consuming and subjective. To address these limitations, this study introduces a novel deep learning-based model, Bidirectional-Gated Recurrent Unit-Modified SqueezeN...
In recent years, optimization-inspired networks that integrate optimization theory into deep neural networks (DNNs) have achieved remarkable success i...
OBJECTIVES: Alpha-1-antitrypsin deficiency (AATD) is a rare genetic disorder leading to chronic obstructive pulmonary disease (COPD). Emphysema is the...
Electronic nose is an emergent technique for noninvasive disease detection via breath analysis, which is, however limited by the sensitivity and selec...
PURPOSE OF REVIEW: Immediate hypersensitivity disorders, such as asthma, food intolerance, and anaphylaxis, have risen dramatically since the 20th cen...
BACKGROUND: The natural language processing (NLP) algorithm for predetermined asthma criteria (NLP-PAC) was successfully developed and validated for a...
The Allergic Rhinitis and its Impact on Asthma (ARIA) guidelines produced their first edition in 1999, with subsequent revisions in 2008, 2010, 2016 a...
PURPOSE: (i) To assess whether 129Xe apparent diffusion coefficient (ADC) and diffusive length scale (LmD) metrics are quantitatively preserved with d...
The use of artificial intelligence (AI) in medicine has been growing steadily over the past decade, but it has not been until the past few years that ...
INTRODUCTION: Spatially resolved omics has reconceptualized the bronchial wall as a mosaic of epithelial - immune microenvironments whose local molecu...
BACKGROUND: Depression is prevalent among asthma patients, negatively impacting their quality of life, treatment adherence, and prognosis. This study ...
Large language models (LLMs) such as ChatGPT, Claude, and Gemini have become widely accessible since 2022. As childhood asthma remains the most common...
OBJECTIVE: Inpatients undergoing stroke rehabilitation experience high malnutrition rates, requiring strict dietary management. However, manual and ti...
BACKGROUND: Bronchial asthma is a complex, highly heterogeneous disease involving multiple pathological mechanisms and inflammatory pathways. Traditio...
Asthma is a complex inflammatory disease of the airways, affecting over 300 million individuals globally. Infection with enterovirus D68 (EV-D68) has ...
This special volume of Biochimica et Biophysica Acta - Molecular Basis of Disease showcases a transformative era in biomedical research, driven by the...
BACKGROUND: Equine asthma is a prevalent respiratory disease that negatively impacts horses' health and athletic performance. Traditional diagnostic m...
The rising incidence of allergic disorders has emerged as a pressing public health issue worldwide, underscoring the need for intensified research and...
OBJECTIVE: Asthma is the most common chronic disease of childhood, characterized by symptoms such as wheezing, shortness of breath, and coughing. With...