{"title":"Artificial intelligence in paediatric respiratory medicine.","authors":"Adam Lawton, Dominic Hughes","doi":"10.1016/j.prrv.2025.10.001","DOIUrl":null,"url":null,"abstract":"<p><p>Proponents of artificial intelligence (AI) believe that it will revolutionise the modern world, affecting how healthcare is delivered and improve both the clinical care we provide and the ease with which we perform our work. In this paper we explain what is meant by 'artificial intelligence' and explore how this technology has been implemented, or might be implemented, with respect to paediatric respiratory medicine. We review the current literature on how AI has been used to improve diagnostics - including examples in radiology, primary ciliary dyskinesia (PCD) diagnostics, sleep medicine, and pulmonary function tests. We also review how AI has been applied to therapeutics and drug discovery, how it will impact evidence-based medicine and literature review, and how clinician support tools will assist us in our work.</p>","PeriodicalId":19658,"journal":{"name":"Paediatric Respiratory Reviews","volume":" ","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Paediatric Respiratory Reviews","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.prrv.2025.10.001","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PEDIATRICS","Score":null,"Total":0}
引用次数: 0
Abstract
Proponents of artificial intelligence (AI) believe that it will revolutionise the modern world, affecting how healthcare is delivered and improve both the clinical care we provide and the ease with which we perform our work. In this paper we explain what is meant by 'artificial intelligence' and explore how this technology has been implemented, or might be implemented, with respect to paediatric respiratory medicine. We review the current literature on how AI has been used to improve diagnostics - including examples in radiology, primary ciliary dyskinesia (PCD) diagnostics, sleep medicine, and pulmonary function tests. We also review how AI has been applied to therapeutics and drug discovery, how it will impact evidence-based medicine and literature review, and how clinician support tools will assist us in our work.
期刊介绍：
Paediatric Respiratory Reviews offers authors the opportunity to submit their own editorials, educational reviews and short communications on topics relevant to paediatric respiratory medicine. These peer reviewed contributions will complement the commissioned reviews which will continue to form an integral part of the journal.
Subjects covered include:
• Epidemiology
• Immunology and cell biology
• Physiology
• Occupational disorders
• The role of allergens and pollutants
A particular emphasis is given to the recommendation of "best practice" for primary care physicians and paediatricians.
Paediatric Respiratory Reviews is aimed at general paediatricians but it should also be read by specialist paediatric physicians and nurses, respiratory physicians and general practitioners.
It is a journal for those who are busy and do not have time to read systematically through literature, but who need to stay up to date in the field of paediatric respiratory and sleep medicine.
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