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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 …
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
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 …
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 …
develo** machines capable of performing tasks typically associated with human …
Current state and prospects of artificial intelligence in allergy
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 …
(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
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 …
than 200 million people worldwide and causes about 450,000 deaths each year. Machine …
Machine learning classification approach for asthma prediction models in children
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 …
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) …
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)
Urbanization's impact on climate is increasingly recognized as a significant public health
challenge, particularly for respiratory conditions like asthma. Despite progress in …
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)
Background and objective Obstructive airway diseases, including asthma and Chronic
Obstructive Pulmonary Disease (COPD), are two of the most common chronic respiratory …
Obstructive Pulmonary Disease (COPD), are two of the most common chronic respiratory …
Artificial intelligence in pediatric allergy research
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 …
diseases in childhood. They are heterogeneous diseases, can co-exist in their development …