Latest AI and machine learning research in asthma for healthcare professionals.
BACKGROUND: The management of severe asthma with biologics has become more complex involving multidisciplinary team meetings. Artificial intelligence has been proposed as an adjunct to aid healthcare professionals in other areas of the medical field. OBJECTIVE: Our aim is to determine if there is a role for artificial intelligence, as an adjunct to the severe asthma multidisciplinary team meeting,...
Asthma and chronic obstructive pulmonary disease (COPD) represent the two most prevalent chronic respiratory conditions worldwide, affecting hundreds of millions of individuals and imposing substantial morbidity and mortality. Despite their distinct biological mechanisms, these diseases frequently exhibit overlapping clinical features-including dyspnea, cough, and wheezing-that complicate differen...
Airway remodeling is increasingly recognized as a major determinant of asthma progression, fixed airflow limitation, and long-term morbidity, particul...
Randomized controlled trials (RCTs) underpin evidence-based medicine, but a growing proportion of trials contain implausible, inaccurate, or fabricate...
Immunogenic cell death (ICD) links tumor cell demise with antitumor immunity, but the transcriptional features associated with ICD gene expression pat...
The escalating global burden of chronic obstructive pulmonary disease (COPD) has outpaced the capacity of conventional management paradigms to deliver...
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a leading health burden and global cause of mortality. This study aimed to assess routine ...
With an almost 20-year experience with asthma biologics, it is now clear that a major impact of all available asthma biologics is the opportunity to r...
Prior evidence suggests that ion channel dysfunction plays a significant role in the pathogenesis of asthma, which provides a theoretical basis for th...
OBJECTIVES: To enable research and innovation, most health data systems are moving away from a model of pooled data egress and instead highlight the b...
OBJECTIVE: Clinical AI systems and models increasingly need traceable documentation that makes intended use, performance evidence, transparency, and l...
OBJECTIVE: To evaluate the current evidence regarding airway and gut microbiome alterations in asthma pathogenesis and therapeutic response, and to ex...
Di(2-ethylhexyl) phthalate (DEHP) is one of the most widely used plasticizers; however, whether cutaneous DEHP exposure affects atopic dermatitis (AD)...
Advances in GPCR biology and drug-discovery technology are simultaneously reshaping what can be targeted in asthma and how those strategies must be va...
OBJECTIVE: To compare ten large language models (LLMs) from seven AI companies, across free and paid tiers, on inhaler technique instruction accuracy ...
OBJECTIVE: To compare the diagnostic accuracy of four available automated electronic medical record (EMR) retrieval methods, including a large languag...
Bronchial asthma (asthma) is a common chronic inflammatory airway disease with a steadily increasing global disease burden. Current asthma management ...
BACKGROUND: Expiratory CT and lobar analysis may provide complementary information to inspiratory CT and spirometry for identifying chronic airflow li...
The gut microbiota constitutes a highly complex ecosystem that plays a pivotal role in maintaining human health and modulating the immune response. Dy...
Type 2 (T2) immune cells dominate the airways of mild-moderate asthma (MMA) patients with a more complex Type 1 (T1)-T2 mixed immune response evident ...