Artificial intelligence improves bronchoscopy performance: a randomised crossover trial.

IF 4.3 3区医学 Q1 RESPIRATORY SYSTEM

ERJ Open Research Pub Date : 2025-01-20 eCollection Date: 2025-01-01 DOI:10.1183/23120541.00395-2024

Kristoffer Mazanti Cold, Kaladerhan Agbontaen, Anne Orholm Nielsen, Christian Skjoldvang Andersen, Suveer Singh, Lars Konge

{"title":"Artificial intelligence improves bronchoscopy performance: a randomised crossover trial.","authors":"Kristoffer Mazanti Cold, Kaladerhan Agbontaen, Anne Orholm Nielsen, Christian Skjoldvang Andersen, Suveer Singh, Lars Konge","doi":"10.1183/23120541.00395-2024","DOIUrl":null,"url":null,"abstract":"Rationale: Flexible bronchoscopy is an operator-dependent procedure. An automatic bronchial identification system based on artificial intelligence (AI) could help bronchoscopists to perform more complete and structured procedures through automatic guidance.Methods: 101 participants were included from six different continents at the European Respiratory Society annual conference in Milan, 9-13 September 2023. Participants were split into three groups based on experience: novices (0 bronchoscopies), intermediates (1-249 bronchoscopies) and experienced (≥250 bronchoscopies). The participants performed two bronchoscopies on a realistic physical phantom, one with AI (AmbuBronchoSimulatorTrainingGUIDEv.0.0.1, Prototype version, Ambu) and one Standard procedure. The F1-group received AI guidance for their first procedure, the F2-group for their second. A crossover randomisation controlled for learning by testing. All procedures were automatically rated according to the outcome measures: inspected segments, structured progressions and procedure time.Results: AI guidance caused the participants to inspect more segments (mean difference, paired t-test: +6.0 segments, p<0.001), perform more structured progressions (+5.2 progressions, p<0.001) and spend more time on the procedure (+72 s, p<0.001) compared to their standard procedures. The effects of AI guidance on inspected segments and structured progression were highest for novices but significant for all experience groups: novices (+8.2 segments, p=0.012 and +6.6 progressions, p<0.001), intermediates (+5.7 segments, p=0.006 and +5.1 progressions, p<0.001) and experienced (+4.3 segments, p=0.006 and +3.8 progressions, p<0.016).Conclusions: AI guidance helped bronchoscopists of all experience levels to inspect more segments in a more structured order. Clinical implementation of AI guidance could help ensure and document more complete bronchoscopy procedures in the future.","PeriodicalId":11739,"journal":{"name":"ERJ Open Research","volume":"11 1","pages":""},"PeriodicalIF":4.3000,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11756663/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERJ Open Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1183/23120541.00395-2024","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}

引用次数: 0

Abstract

Rationale: Flexible bronchoscopy is an operator-dependent procedure. An automatic bronchial identification system based on artificial intelligence (AI) could help bronchoscopists to perform more complete and structured procedures through automatic guidance.

Methods: 101 participants were included from six different continents at the European Respiratory Society annual conference in Milan, 9-13 September 2023. Participants were split into three groups based on experience: novices (0 bronchoscopies), intermediates (1-249 bronchoscopies) and experienced (≥250 bronchoscopies). The participants performed two bronchoscopies on a realistic physical phantom, one with AI (AmbuBronchoSimulatorTrainingGUIDEv.0.0.1, Prototype version, Ambu) and one Standard procedure. The F1-group received AI guidance for their first procedure, the F2-group for their second. A crossover randomisation controlled for learning by testing. All procedures were automatically rated according to the outcome measures: inspected segments, structured progressions and procedure time.

Results: AI guidance caused the participants to inspect more segments (mean difference, paired t-test: +6.0 segments, p<0.001), perform more structured progressions (+5.2 progressions, p<0.001) and spend more time on the procedure (+72 s, p<0.001) compared to their standard procedures. The effects of AI guidance on inspected segments and structured progression were highest for novices but significant for all experience groups: novices (+8.2 segments, p=0.012 and +6.6 progressions, p<0.001), intermediates (+5.7 segments, p=0.006 and +5.1 progressions, p<0.001) and experienced (+4.3 segments, p=0.006 and +3.8 progressions, p<0.016).

Conclusions: AI guidance helped bronchoscopists of all experience levels to inspect more segments in a more structured order. Clinical implementation of AI guidance could help ensure and document more complete bronchoscopy procedures in the future.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

ERJ Open Research Medicine-Pulmonary and Respiratory Medicine

CiteScore

6.20

自引率

4.30%

发文量

273

审稿时长

8 weeks

期刊介绍： ERJ Open Research is a fully open access original research journal, published online by the European Respiratory Society. The journal aims to publish high-quality work in all fields of respiratory science and medicine, covering basic science, clinical translational science and clinical medicine. The journal was created to help fulfil the ERS objective to disseminate scientific and educational material to its members and to the medical community, but also to provide researchers with an affordable open access specialty journal in which to publish their work.