Artificial intelligence: exploring the future of innovation in allergy immunology

D MacMath, M Chen, P Khoury - Current Allergy and Asthma Reports, 2023 - Springer
Abstract Purpose of Review Artificial intelligence (AI) has increasingly been used in
healthcare. Given the capacity of AI to handle large data and complex relationships between …

A comprehensive analysis of artificial intelligence techniques for the prediction and prognosis of lifestyle diseases

K Modi, I Singh, Y Kumar - Archives of Computational Methods in …, 2023 - Springer
Artificial intelligence is the fastest growing data-driven technology and is currently used in all
major fields and reduces the work of humans. Artificial intelligence can analyse extensive …

[HTML][HTML] Promises, pitfalls, and clinical applications of artificial intelligence in pediatrics

H Bhargava, C Salomon, S Suresh, A Chang… - Journal of Medical …, 2024 - jmir.org
Artificial intelligence (AI) broadly describes a branch of computer science focused on
develo** machines capable of performing tasks typically associated with human …

Current state and prospects of artificial intelligence in allergy

M van Breugel, RSN Fehrmann, M Bügel, FI Rezwan… - Allergy, 2023 - Wiley Online Library
The field of medicine is witnessing an exponential growth of interest in artificial intelligence
(AI), which enables new research questions and the analysis of larger and new types of …

Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review

WK Darsha Jayamini, F Mirza, M Asif Naeem… - Journal of Medical …, 2024 - Springer
Asthma, a common chronic respiratory disease among children and adults, affects more
than 200 million people worldwide and causes about 450,000 deaths each year. Machine …

Machine learning classification approach for asthma prediction models in children

RH Ekpo, VC Osamor, AA Azeta, E Ikeakanam… - Health and …, 2023 - Springer
Abstract Background Machine Learning refers to a methodology in the domain of data
analytic that automates the systematic building of the model. It permits the discovery of …

Development of childhood asthma prediction models using machine learning approaches

DM Kothalawala, CS Murray, A Simpson… - Clinical and …, 2021 - Wiley Online Library
Background Respiratory symptoms are common in early life and often transient. It is difficult
to identify in which children these will persist and result in asthma. Machine learning (ML) …

Spatio-temporal modeling of asthma-prone areas: Exploring the influence of urban climate factors with explainable artificial intelligence (XAI)

SV Razavi-Termeh, A Sadeghi-Niaraki, F Ali… - Sustainable Cities and …, 2024 - Elsevier
Urbanization's impact on climate is increasingly recognized as a significant public health
challenge, particularly for respiratory conditions like asthma. Despite progress in …

Automated detection of airflow obstructive diseases: a systematic review of the last decade (2013-2022)

S Xu, RC Deo, J Soar, PD Barua, O Faust… - Computer methods and …, 2023 - Elsevier
Background and objective Obstructive airway diseases, including asthma and Chronic
Obstructive Pulmonary Disease (COPD), are two of the most common chronic respiratory …

Artificial intelligence in pediatric allergy research

D Lisik, R Basna, T Dinh, C Hennig, SA Shah… - European journal of …, 2025 - Springer
Atopic dermatitis, food allergy, allergic rhinitis, and asthma are among the most common
diseases in childhood. They are heterogeneous diseases, can co-exist in their development …