Impact of real-world confounders on the accuracy of an AI model to support read out of skin prick automated test results

Rhinology Journal 2026

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Authors: K Roux, S F Seys, Valérie Hox, A M Chaker, P W Helling, G De Greve, W Lemmens, A L Poirrier, R Daems, D Loeckx, S Gorris, L van Gerven
DOI: 10.4193/rhin25.634
Cited by: 1

Abstract

Skin prick testing (SPT) is the gold standard for diagnosing allergic sensitization in individuals with a suspected airborne allergy (1). Skin tests are used as first option in 90% of individuals suffering from respiratory allergies and almost two-third of all types of allergies (2). However, its accuracy highly depends on the operator, causing variability during pricking and readout. S.P.A.T. or skin prick automated test standardises the SPT procedure and has been clinically validated (3).

Fields of Study & Subjects

Allergic Rhinitis and Sensitization Asthma and respiratory diseases Occupational exposure and asthma

Publication details

Journal / source
Rhinology Journal
Publisher
Stichting Nase
Volume
0
Issue
0
Publication date
1 May 2026
Language
EN