Professor Markus Magerl joins Professor Marcus Maurer in this episode to explore the significance of differential diagnosis in the identification of angioedema in chronic spontaneous urticaria (CSU). Professor Magerl takes a deep dive into the prospective use of artificial intelligence (AI) in the analysis of data derived from a questionnaire utilising algorithmic models. Both professors, Maurer and Magerl, discuss the implications AI can have in enhancing the diagnostic accuracy of angioedema. Utilise the following external links to access additional resources relating to the topics discussed in this episode: 10 Questions - Using AI for diagnosing your or your patient´s angioedema, Differences and Similarities in the Mechanisms and Clinical Expression of Bradykinin‑Mediated vs. Mast Cell–Mediated Angioedema and Case Report: Recurrent Angioedema: Diagnosing the Rare and the Frequent. Do you have suggestions for future episodes? Please provide feedback and offer your suggestions for future topics and expert selection here. Access additional resources by signing up to Medthority and to be notified for future 'All Things Urticaria' podcast episodes! For more information about the UCARE/ACARE network and its activities, please visit: UCARE Website, UCARE LevelUp Program, ACARE Website, UCARE 4U Website, UDAY Website, CRUSE Control App and CURE Registry.

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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