Abstract

Background: Artificial intelligence (AI) offers a wide range of applications in allergology, including diagnostics and disease course prediction, consultations, real-time monitoring of allergic reactions, and support for decentralized clinical studies. Materials and methods: This review aims to highlight not only the potential applications but also the ethical aspects of using AI in allergology. Results: Initial studies demonstrate potential applications of AI in predicting provocation tests and antibiotic delabeling. However, these models from research and development have not yet been established in clinical practice, partly because ethical considerations, alongside technical challenges, and data quality issues, must be addressed. Key ethical dilemmas include bias and fairness, the principle of nonmaleficence, data protection and autonomy, transparency of AI models, and questions of accountability. AI applications must be robust and reliable to prevent harm caused by erroneous recommendations. Conclusion: The use of AI in allergology requires clear guidelines based on principles such as autonomy, justice, and non-maleficence. General bioethical principles must be complemented by specific regulations for AI.

Author Details

Authors

• Sonja Mathes¹
• Sebastian Seurig²
• Stephan Traidl³
• Valentina Faihs¹
• Marta Dechant¹
• Knut Brockow¹
• Ulf Darsow¹

Departments

• ¹ Department of Dermatology and Allergy, School of Medicine and Health, Technische Universität München, Munich,
• ² Department of Respiratory Medicine, Allergology and Sleep Medicine, General Hospital Nuremberg, Campus North, Paracelsus Medical University, Nuremberg, and
• ³ Department of Dermatology and Allergy, Hannover Medical School, Hanover, Germany

Address

Dr. med. Sonja Mathes, Klinik und Poliklinik für Dermatologie und Allergologie, Biedersteiner Straße 29, 80802 Munich, Germany
Email: [email protected]

Citation