Novel Artificial Intelligence-Based Technology to Diagnose Asthma Using Methacholine Challenge Tests-Reference-Cited by-同舟云学术

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Novel Artificial Intelligence-Based Technology to Diagnose Asthma Using Methacholine Challenge Tests

Published:2024 Issue:1 Volume:16 Page:42
ISSN:2092-7355
Container-title:Allergy, Asthma & Immunology Research
language:en
Short-container-title:Allergy Asthma Immunol Res

Author:

Kang Noeul¹^ORCID,Lee KyungHyun²^ORCID,Byun Sangwon²^ORCID,Lee Jin-Young³^ORCID,Choi Dong-Chull¹^ORCID,Lee Byung-Jae¹^ORCID

Affiliation:

1. Division of Allergy, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

2. Department of Electronics Engineering, Incheon National University, Incheon, Korea.

3. Health Promotion Center, Samsung Medical Center, Seoul, Korea.

Publisher

XMLink

Link

https://e-aair.org/pdf/10.4168/aair.2024.16.1.42

Reference50 articles.

1. Guidelines for Methacholine and Exercise Challenge Testing—1999

2. ERS technical standard on bronchial challenge testing: general considerations and performance of methacholine challenge tests

3. A Comparison of the Validity of Different Diagnostic Tests in Adults With Asthma

4. Methacholine challenge testing: comparative pharmacology

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Current technological advancement in asthma care;Expert Review of Respiratory Medicine;2024-07-02

2. Contemporary Concise Review 2023: Asthma;Respirology;2024-06-28

3. Considerations for Developing Diagnostic Artificial Intelligence: Towards Real-World Application of an Asthma Detection Model;Allergy, Asthma & Immunology Research;2024

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