AI-Supported Systematic Review

Title:  Patients' values and preferences for health states in allergic rhinitis—An artificial intelligence supported systematic review

Date Published: March 2024 

Allergy: Systematic Review

Citation: Brozek, J., Borowiack, E., Sadowska, E., Nowak, A., Sousa-Pinto, B., Vieira, R. J., Bognanni, A., Yepes Nuñez, J. J., Zhang, Y., Zuberbier, T., Bousquet, J., & Schünemann, H. J. (2024). Patients' values and preferences for health states in allergic rhinitis—An artificial intelligence supported systematic review. Allergy, 79(7), 1812-1830. https://doi.org/10.1111/all.16100

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What is this report about?

The systematic review focused on summarising patients’ values and preferences related to allergic rhinitis while highlighting the impact of symptoms on daily lives.

How did Laser AI help?

Artificial intelligence models were used for reference deduplication and prioritisation during the title and abstract screening stage, helping to speed up the process. With semi-automation, AI models helped save time by automatically extracting data. 

What were the results?

Overall, the systematic review provides a detailed overview of the patient's values and preferences related to allergic rhinitis. Patients find symptoms of allergic rhinitis and their severity more significant than care-related patient experience. Among the symptoms, nasal issues, particularly congestion, have the most significant impact on daily life, surpassing the effects of eye-related symptoms.