dc.contributor
Institut Català de la Salut
dc.contributor
[Rivière JG, Soler-Palacín P] Universitat Autònoma de Barcelona, Barcelona, Spain. Grup de Recerca d’Infecció i Immunitat al Pacient Pediàtric, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Unitat de Patologia Infecciosa i Immunodeficiències de Pediatria, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Jeffrey Modell Diagnostic and Research Center for Primary Immunodeficiencies, Barcelona, Spain. [Cantenys-Saba R, Carot-Sans G, Piera-Jiménez J] Catalan Health Service, Barcelona, Spain. Digitalization for the Sustainability of the Healthcare System (DS3) Research Group, Barcelona, Spain. [Butte MJ] Division of Immunology, Allergy, and Rheumatology, Department of Pediatrics, University of California, Los Angeles, Calif. Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Calif. Department of Human Genetics, University of California, Los Angeles, Calif
dc.contributor
Vall d'Hebron Barcelona Hospital Campus
dc.contributor.author
Cantenys Sabà, Roser
dc.contributor.author
Butte, Manish
dc.contributor.author
Rivière, Jacques G.
dc.contributor.author
Carot-Sans, Gerard
dc.contributor.author
Piera-Jiménez, Jordi
dc.contributor.author
Soler-Palacin, Pere
dc.date.issued
2025-10-15T10:58:22Z
dc.date.issued
2025-10-15T10:58:22Z
dc.identifier
Rivière JG, Cantenys-Saba R, Carot-Sans G, Piera-Jiménez J, Butte MJ, Soler-Palacín P, et al. Current perspectives and challenges of using artificial intelligence in immunodeficiencies. J Allergy Clin Immunol. 2025 Oct;156(4):878–88.
dc.identifier
http://hdl.handle.net/11351/13862
dc.identifier
10.1016/j.jaci.2025.06.015
dc.description.abstract
Artificial intelligence; Clinical decision support; Electronic health records
dc.description.abstract
Intel·ligència artificial; Suport a la decisió clínica; Registres electrònics de salut
dc.description.abstract
Inteligencia artificial; Apoyo a la decisión clínica; Registros electrónicos de salud
dc.description.abstract
The rapid growth of artificial intelligence (AI) in health care is promising for screening and early diagnosis in settings that heavily rely on professional expertise, such as rare diseases like inborn errors of immunity (IEI). However, the development of AI algorithms for IEI and other rare diseases faces important challenges such as dataset sizes, availability and harmonization. Similarly, the implementation of AI-based strategies for screening and diagnosis of IEI in real-world scenarios is hampered by multiple factors including stakeholders' acceptance, ethical and legal constraints, and technologic barriers. Consequently, while the body of literature on AI-based solutions for early diagnosis of IEI continues to expand, clinical utility and widespread implementation remain limited. In this review, we provide an up-to-date comprehensive review of current applications and challenges facing AI use for IEI diagnosis and care.
dc.format
application/pdf
dc.relation
Journal of Allergy and Clinical Immunology;156(4)
dc.relation
https://doi.org/10.1016/j.jaci.2025.06.015
dc.rights
Attribution 4.0 International
dc.rights
http://creativecommons.org/licenses/by/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
Intel·ligència artificial - Aplicacions a la medicina
dc.subject
Síndromes de deficiència immunitària - Diagnòstic
dc.subject
PHENOMENA AND PROCESSES::Mathematical Concepts::Algorithms::Artificial Intelligence
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DISEASES::Immune System Diseases::Immunologic Deficiency Syndromes
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Other subheadings::Other subheadings::/diagnosis
dc.subject
FENÓMENOS Y PROCESOS::conceptos matemáticos::algoritmos::inteligencia artificial
dc.subject
ENFERMEDADES::enfermedades del sistema inmune::síndromes de inmunodeficiencia
dc.subject
Otros calificadores::Otros calificadores::/diagnóstico
dc.title
Current perspectives and challenges of using artificial intelligence in immunodeficiencies
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion
