International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Volume 8 Issue 2
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Role of Artificial Intelligence and Machine Learning in Asthma: A review paper

Author(s) Mrs. Manisha, Nikita Rawat
Country India
Abstract Asthma is a multifaceted disease with distinct symptoms and genotypes. Despite the availability of excellent medicines, asthma control remains difficult due to common errors in diagnosis and classification, poor efficacy or adherence, and inhalation technique. The integration of recent developments in computer science, artificial intelligence (AI), and machine learning (ML) into clinical practice holds great potential for improving patient care and medical decision-making. Artificial Intelligence and Machine Learning is now a useful tool for more accurate categorization, diagnosis, risk assessment, and prediction processes due to the ongoing development of massive datasets. This is because AI/ML can evaluate a lot more data than doctors. With numerous applications in various aspects of the disease, from early and accurate diagnosis to personalized treatment and exacerbation prevention, the use of AI/ML techniques in asthma care in particular has grown quickly and has the potential to revolutionize precision medicine. With an emphasis on asthma future risk identification, screening and diagnosis, patient classification, prediction of asthma exacerbations, and asthma management and guided treatment, we present the most recent literature on AI/ML and asthma in the last three years in this narrative review. Our goal is to map the most recent knowledge and clarify the path for future research. AI has a lot of potential, but it won't replace doctors; instead, it will undoubtedly help them make better medical judgments and practices in the near future.
Keywords Asthma, Deep Learning, Machine Learning, Artificial Intelligence, and Digital tools.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 8, Issue 1, January-February 2026
Published On 2026-02-27
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E-ISSN 2582-2160
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