The Impact of Artificial Intelligence on Allergy Diagnosis and Treatment

Purpose of Review Artificial intelligence (AI), be it neuronal networks, machine learning or deep learning, has numerous beneficial effects on healthcare systems; however, its potential applications and diagnostic capabilities for immunologic diseases have yet to be explored. Understanding AI system...

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Bibliographic Details
Published in:Current allergy and asthma reports 2024-07, Vol.24 (7), p.361-372
Main Authors: Khan, Maham, Banerjee, Sandipta, Muskawad, Sakshi, Maity, Rick, Chowdhury, Shubhayu Roy, Ejaz, Rida, Kuuzie, Ekins, Satnarine, Travis
Format: Article
Language:English
Subjects:
Allergology
Artificial intelligence
Machine learning
Medical personnel
Medicine
Medicine & Public Health
Review
Technology and Artificial Intelligence
Telemedicine
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Summary:Purpose of Review Artificial intelligence (AI), be it neuronal networks, machine learning or deep learning, has numerous beneficial effects on healthcare systems; however, its potential applications and diagnostic capabilities for immunologic diseases have yet to be explored. Understanding AI systems can help healthcare workers better assimilate artificial intelligence into their practice and unravel its potential in diagnostics, clinical research, and disease management. Recent Findings We reviewed recent advancements in AI systems and their integration in healthcare systems, along with their potential benefits in the diagnosis and management of diseases. We explored machine learning as employed in allergy diagnosis and its learning patterns from patient datasets, as well as the possible advantages of using AI in the field of research related to allergic reactions and even remote monitoring. Considering the ethical challenges and privacy concerns raised by clinicians and patients with regard to integrating AI in healthcare, we explored the new guidelines adapted by regulatory bodies. Despite these challenges, AI appears to have been successfully incorporated into various healthcare systems and is providing patient-centered solutions while simultaneously assisting healthcare workers. Summary Artificial intelligence offers new hope in the field of immunologic disease diagnosis, monitoring, and management and thus has the potential to revolutionize healthcare systems.
ISSN:1529-7322
1534-6315
1534-6315
DOI:10.1007/s11882-024-01152-y