Allergy management is undergoing a transformative shift due to advancements in diagnostic tools, precision medicine, and digital health technologies. Artificial intelligence-driven predictive models enable more personalized and accurate diagnoses. In addition, digital health solutions are enhancing patient monitoring and adherence to treatment protocols. The integration of these advances into clinical practice requires interdisciplinary collaboration and updated health care policies to ensure accessibility and affordability. Although these innovations present promising opportunities, challenges such as data privacy, regulatory approval, and equitable health care distribution must be addressed. By embracing technological and scientific developments, the future of allergy management aims to improve patient outcomes, enhance quality of life, and reduce the overall burden of allergic diseases globally.

The Future of Allergy Management: How Artificial Intelligence Is Changing the Game

Giuliana Ferrante
2025-01-01

Abstract

Allergy management is undergoing a transformative shift due to advancements in diagnostic tools, precision medicine, and digital health technologies. Artificial intelligence-driven predictive models enable more personalized and accurate diagnoses. In addition, digital health solutions are enhancing patient monitoring and adherence to treatment protocols. The integration of these advances into clinical practice requires interdisciplinary collaboration and updated health care policies to ensure accessibility and affordability. Although these innovations present promising opportunities, challenges such as data privacy, regulatory approval, and equitable health care distribution must be addressed. By embracing technological and scientific developments, the future of allergy management aims to improve patient outcomes, enhance quality of life, and reduce the overall burden of allergic diseases globally.
2025
Allergic diseases, Allergy management, Artificial intelligence, Global burden, Machine learning
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1179672
Citazioni
  • ???jsp.display-item.citation.pmc??? 1
  • Scopus 3
  • ???jsp.display-item.citation.isi??? ND
social impact