Evidence map›Paper›PMID 41164088›Full record

ReviewAllergologie select2025

Ethical aspects of the application of artificial intelligence in allergology.

Sonja Mathes, Sebastian Seurig, Stephan Traidl, Valentina Faihs, Marta Dechant, Knut Brockow, Ulf Darsow

Abstract readReview
In one paragraph

Review in Allergologie select, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Sonja MathesDepartment of Dermatology and Allergy, School of Medicine and Health, Technische Universität München, Munich.
Sebastian SeurigDepartment of Respiratory Medicine, Allergology and Sleep Medicine, General Hospital Nuremberg, Campus North, Paracelsus Medical University, Nuremberg, and.
Stephan TraidlDepartment of Dermatology and Allergy, Hannover Medical School, Hanover, Germany.
Valentina FaihsDepartment of Dermatology and Allergy, School of Medicine and Health, Technische Universität München, Munich.
Marta DechantDepartment of Dermatology and Allergy, School of Medicine and Health, Technische Universität München, Munich.
Knut BrockowDepartment of Dermatology and Allergy, School of Medicine and Health, Technische Universität München, Munich.
Ulf DarsowDepartment of Dermatology and Allergy, School of Medicine and Health, Technische Universität München, Munich.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArtificial intelligence (AI) offers a wide range of applications in allergology, including diagnostics and disease course prediction, consultations, real-time monitoring of allergic reactions, and support for decentralized clinical studies. MATERIALS AND

methodsThis review aims to highlight not only the potential applications but also the ethical aspects of using AI in allergology.

resultsInitial studies demonstrate potential applications of AI in predicting provocation tests and antibiotic delabeling. However, these models from research and development have not yet been established in clinical practice, partly because ethical considerations, alongside technical challenges, and data quality issues, must be addressed. Key ethical dilemmas include bias and fairness, the principle of non-maleficence, data protection and autonomy, transparency of AI models, and questions of accountability. AI applications must be robust and reliable to prevent harm caused by erroneous recommendations.

conclusionThe use of AI in allergology requires clear guidelines based on principles such as autonomy, justice, and non-maleficence. General bioethical principles must be complemented by specific regulations for AI.

Indexed as

AIallergybioethicsethicstrends in allergology

Identifiers

PMID41164088
PMCPMC12560830

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.