ReviewThe World Allergy Organization journal2025
Artificial intelligence in allergy practice: Digital transformation and the future of clinical care.
Review in The World Allergy Organization journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- The future of allergy and immunology care: A perspective on innovation, equity, and global collaboration from the WAO Junior Members Group.The World Allergy Organization journal · 2026Article
- Weather-Enhanced Machine Learning for Time-Resolved Risk Stratification of Clinically Managed Hymenoptera-Related Sting Events in an Urban German Region.International journal of environmental research and public health · 2026Article
- Digital health in allergy care: current practices, evidence, and future prospects.Frontiers in allergy · 2026Review
- Managing in-flight allergic emergencies: Challenges and solutions.The World Allergy Organization journal · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bioethics involves the analysis of human behavior in the life and health sciences, grounded in moral values and ethical principles. Its integration into the education and training of healthcare professionals is essential for addressing complex medical dilemmas, while also fostering behaviors that strengthen the doctor-patient relationship. The rapid advancement of technology, particularly artificial intelligence (AI), is transforming medical specialties and reshaping patient care. In the field of allergy and immunology, AI offers promising applications such as enhanced patient education, symptom tracking, personalized treatment planning, and improved clinical decision-making. However, its implementation raises significant ethical concerns. There is a risk of diminishing clinical reasoning skills due to excessive reliance on AI, as well as challenges related to data privacy, informed consent, and algorithmic transparency. These issues pose new bioethical dilemmas regarding patient autonomy and the humanization of care. This review explores the integration of AI in allergy practice, emphasizing its ethical implications and its potential impact on the doctor-patient relationship. Balancing technological innovation with core bioethical principles-non-maleficence, beneficence, autonomy, and justice-is critical for advancing patient-centered care in a digital era.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.