{"doi":"10.1183/13993003.00894-2025","title":"Characterising research trends in bronchiectasis through AI-powered analytics","abstract":"<jats:sec>\n                    <jats:title>Background</jats:title>\n                    <jats:p>Interest in bronchiectasis is increasing and no prior study has used artificial intelligence (AI) to interrogate its rich, multidimensional literature to characterise research trends, themes and knowledge gaps.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods</jats:title>\n                    <jats:p>We reviewed original bronchiectasis research between 1949 and 2024 (a 75-year period) to identify, characterise and assess research trends and trajectories using two AI-powered approaches: 1) Atlas, an AI topic-modelling tool; and 2) a custom model, leveraging ChatGPT embedding and text generation models.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Results</jats:title>\n                    <jats:p>\n                      AI-powered analytics revealed a nine-fold increase in bronchiectasis research speed since 2000, typified by enhanced richness with four new research topics emerging every 5 years. Publication trends mirror clinical and technological advances, exemplified by significant rises in computed tomography, microbiome and clinical studies following the adoption of high-resolution computed tomography (1970s), next-generation sequencing (2005) and the first clinical guidelines (2008–2010), respectively. Topics with sustained growth (\n                      <jats:italic>i.e.</jats:italic>\n                      popular topics) include bronchiectasis–COPD overlap, microbiome infection, cardiovascular health and exacerbations. Those with sudden, short-term increased interest (\n                      <jats:italic>i.e.</jats:italic>\n                      trending topics) have focused on microbial pathogens and primary ciliary dyskinesia genetics. Mortality represents a nascent topic, demonstrating the highest year-on-year interest. Growth of research within the “vicious vortex” demonstrates thematic imbalance, with few studies overlapping with non-vortex components. Evolving research focus towards inflammation is evident, with increased work on comorbidities and quality of life demonstrating a shift from disease-centric to patient-centric research.\n                    </jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion</jats:title>\n                    <jats:p>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.</jats:p>\n                  </jats:sec>","journal":"European Respiratory Journal","year":2025,"id":618405,"datarank":0.3453877639491069,"base_score":2.302585092994046,"endowment":2.302585092994046,"self_citation_contribution":0.3453877639491069,"citation_network_contribution":0.0,"self_endowment_contribution":0.3453877639491069,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":9,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1595350,"name":"Yolanda Koo Wei Ling","orcid":null,"position":1,"is_corresponding":false},{"id":1595351,"name":"Micheál Mac Aogáin","orcid":null,"position":2,"is_corresponding":false},{"id":384789,"name":"Sanjay H. Chotirmall","orcid":"0000-0003-0417-7607","position":3,"is_corresponding":false},{"id":1595349,"name":"Jayanth Kumar Narayana","orcid":"0000-0001-8794-9048","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Characterising research trends in bronchiectasis through AI-powered analytics","abstract":"<jats:sec>\n                    <jats:title>Background</jats:title>\n                    <jats:p>Interest in bronchiectasis is increasing and no prior study has used artificial intelligence (AI) to interrogate its rich, multidimensional literature to characterise research trends, themes and knowledge gaps.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods</jats:title>\n                    <jats:p>We reviewed original bronchiectasis research between 1949 and 2024 (a 75-year period) to identify, characterise and assess research trends and trajectories using two AI-powered approaches: 1) Atlas, an AI topic-modelling tool; and 2) a custom model, leveraging ChatGPT embedding and text generation models.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Results</jats:title>\n                    <jats:p>\n                      AI-powered analytics revealed a nine-fold increase in bronchiectasis research speed since 2000, typified by enhanced richness with four new research topics emerging every 5 years. Publication trends mirror clinical and technological advances, exemplified by significant rises in computed tomography, microbiome and clinical studies following the adoption of high-resolution computed tomography (1970s), next-generation sequencing (2005) and the first clinical guidelines (2008–2010), respectively. Topics with sustained growth (\n                      <jats:italic>i.e.</jats:italic>\n                      popular topics) include bronchiectasis–COPD overlap, microbiome infection, cardiovascular health and exacerbations. Those with sudden, short-term increased interest (\n                      <jats:italic>i.e.</jats:italic>\n                      trending topics) have focused on microbial pathogens and primary ciliary dyskinesia genetics. Mortality represents a nascent topic, demonstrating the highest year-on-year interest. Growth of research within the “vicious vortex” demonstrates thematic imbalance, with few studies overlapping with non-vortex components. Evolving research focus towards inflammation is evident, with increased work on comorbidities and quality of life demonstrating a shift from disease-centric to patient-centric research.\n                    </jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion</jats:title>\n                    <jats:p>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.</jats:p>\n                  </jats:sec>","is_dataset_classified":null,"base_score":2.1972245773362196,"endowment":2.1972245773362196,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"40876962","pmcid":"PMC12675959","openalex_id":"https://openalex.org/W4413780541","authors":[],"funders":[{"funder_name":"National Medical Research Council","grant_id":"MOH-001356","title":null},{"funder_name":"National Medical Research Council","grant_id":"MOH-001636","title":null},{"funder_name":"Singapore Ministry of Education under its AcRF Tier 1 Grant","grant_id":"RT1/22","title":null}],"total_grants":3,"fwci":7.3441,"citation_percentile":0.97557238,"influential_citations":0,"citation_trend":[{"year":2025,"count":2},{"year":2026,"count":6}],"oa_status":"closed","license":"http://creativecommons.org/licenses/by-nc/4.0/","oa_locations":[{"url":"https://syndication.highwire.org/content/doi/10.1183/13993003.00894-2025","host_type":"publisher"},{"url":"https://doi.org/10.1183/13993003.00894-2025","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/40876962","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC12675959","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC12675959?pdf=render","host_type":"Europe_PMC"}],"fields_of_study":["Cystic Fibrosis Research Advances","Chronic Obstructive Pulmonary Disease (COPD) Research","Delphi Technique in Research","Bronchiectasis","Humans","Artificial Intelligence","Biomedical Research","Microbiota","Tomography, X-Ray Computed"],"mesh_terms":["Artificial Intelligence","Bronchiectasis","Humans","Tomography, X-Ray Computed","Biomedical Research","Microbiota"],"keywords":["Medicine","Bronchiectasis","Analytics","Intensive care medicine","Data science","Internal medicine","Lung"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-03T04:19:22.784898Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}