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Application and research progress of artificial intelligence in allergic diseases
Hong Tan1, Xuehua Zhou1, Huajie Wu1
1Department of Pediatrics, Xijing Hospital, The Fourth Military Medical University, Xi'an, Shaanxi, China.
International Journal of Medical Sciences
|April 30, 2025
Summary
Artificial intelligence (AI) aids in predicting, diagnosing, and managing allergic diseases like asthma. This review explores AI
Area of Science:
- Medical Informatics
- Computational Biology
- Allergology
Background:
- Allergic diseases are chronic, non-communicable conditions impacting quality of life.
- Artificial intelligence (AI) offers advanced data analysis for medical applications.
- AI techniques like Machine Learning and Deep Learning are increasingly used in healthcare.
Purpose of the Study:
- To review the application and progress of AI in allergic disease management.
- To focus on AI's role in asthma, atopic dermatitis, food allergies, allergic rhinitis, and urticaria.
- To analyze the advantages and limitations of AI in clinical practice.
Main Methods:
- Literature review of AI applications in allergic diseases.
- Analysis of AI techniques including Machine Learning, Deep Learning, and Natural Language Processing.
- Synthesis of research on AI for disease prediction, diagnosis, treatment, and management.
Main Results:
- AI demonstrates significant potential in clinical risk prediction and improving diagnostic accuracy.
- AI assists in drug development, precision treatment, and personalized management of allergic conditions.
- The study covers AI's progress across various allergic diseases, including asthma and urticaria.
Conclusions:
- AI tools can support healthcare professionals in managing allergic diseases.
- Further research and analysis of AI methods are needed to optimize clinical integration.
- AI offers a valuable reference for medical teams and researchers in allergology.
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