Characterising research trends in bronchiectasis through AI-powered analytics

AI captures bronchiectasis as a dynamic and interdisciplinary field in continuing growth. Emerging research topics extend beyond the vicious vortex framework, indicating a transition from disease-centric to patient-centric approaches to optimise clinical care.

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Publication Details

Journal
European Respiratory Journal
Published
2025-08-28
DOI
https://doi.org/10.1183/13993003.00894-2025
Citations
6
Primary Topic
Cystic Fibrosis Research Advances
Type
article
Field-Weighted Citation Impact
9.11

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article

Characterising research trends in bronchiectasis through AI-powered analytics

Jayanth Kumar Narayana, Yik Tung Tracy Ling, Micheál Mac Aogáin, Sanjay H. Chotirmall
6 citations
European Respiratory Journal
Cystic Fibrosis Research Advances
9.11
article

Characterising research trends in bronchiectasis through AI-powered analytics

Jayanth Kumar Narayana, Yik Tung Tracy Ling, Micheál Mac Aogáin, Sanjay H. Chotirmall
article en
6 citations

Abstract

AI captures bronchiectasis as a dynamic and interdisciplinary field in continuing growth. Emerging research topics extend beyond the vicious vortex framework, indicating a transition from disease-centric to patient-centric approaches to optimise clinical care.

European Respiratory JournalVol. 66(6)
Nanyang Technological University (SG), Trinity College Dublin (IE), Tan Tock Seng Hospital (SG), St. James's Hospital (IE)
National Medical Research Council
Openalex Percentile: Top 2%
Cystic Fibrosis Research Advances
9.11
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