通过人工智能分析描述支气管扩张的研究趋势。

IF 21 1区 医学 Q1 RESPIRATORY SYSTEM
Jayanth Kumar Narayana, Yolanda Koo Wei Ling, Micheál Mac Aogáin, Sanjay H Chotirmall
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引用次数: 0

摘要

背景:人们对支气管扩张的兴趣越来越大,但之前没有研究使用人工智能(AI)来询问其丰富的、多维的文献,以表征研究趋势、主题和知识差距。方法:我们回顾了1949-2024年(75年期间)支气管扩张的原始研究,以识别、表征和评估研究趋势和轨迹,使用两种人工智能支持的方法:(1)ATLAS,人工智能主题建模工具;(2)利用ChatGPT嵌入和文本生成模型的自定义模型。结果:人工智能分析显示,自2000年以来,支气管扩张的研究速度增加了9倍,其典型特征是每5年出现4个新的研究主题。出版物趋势反映了临床和技术的进步,例如计算机断层扫描(CT)、微生物组和临床研究在采用HRCT(20世纪70年代)、下一代测序(2005年)和第一个临床指南(2008-2010年)后的显著增加。持续增长(即流行)的主题包括支气管扩张-慢性阻塞性肺病重叠、微生物组感染、心血管健康和恶化,而突然、短期增加的兴趣(即趋势)集中在微生物病原体和原发性纤毛运动障碍(PCD)遗传学上。死亡率是一个新兴的话题,每年都受到最高的关注。“恶性涡”研究的增长表现出主题不平衡,很少有研究与非涡旋成分重叠。随着对合并症和生活质量的研究的增加,炎症研究的重点不断发展,这表明从以疾病为中心的研究向以患者为中心的研究转变。结论:人工智能捕捉到支气管扩张是一个不断发展的动态和跨学科领域。新兴的研究课题超越了“恶性漩涡”框架,表明从疾病到以患者为中心的方法的过渡,以优化临床护理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterizing research trends in bronchiectasis through AI-powered analytics.

Background: Interest in bronchiectasis is increasing and no prior study has used Artificial Intelligence (AI) to interrogate its rich, multidimensional literature to characterize research trends, themes and knowledge gaps.

Methods: We reviewed original bronchiectasis research between 1949-2024 (75-year period) to identify, characterize 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.

Results: AI-powered analytics reveal a nine-fold increase in bronchiectasis research speed since 2000, typified by enhanced richness with four new research topics emerging every five years. Publication trends mirror clinical and technological advances, exemplified by significant rises in computed tomography (CT), microbiome and clinical studies following adoption of HRCT (1970s), next-generation sequencing (2005) and the first clinical guidelines (2008-2010). Topics with sustained growth (i.e. popular) include bronchiectasis-COPD overlap, microbiome-infection, cardiovascular health and exacerbations while those with sudden, short-term increased interest (i.e. trending) focused on microbial pathogens and primary ciliary dyskinesia (PCD) genetics. Mortality represents a nascent topic demonstrating 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 toward inflammation is evident, with increased work on comorbidities and quality of life demonstrating a shift from disease- to patient-centric research.

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

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来源期刊
European Respiratory Journal
European Respiratory Journal 医学-呼吸系统
CiteScore
27.50
自引率
3.30%
发文量
345
审稿时长
2-4 weeks
期刊介绍: The European Respiratory Journal (ERJ) is the flagship journal of the European Respiratory Society. It has a current impact factor of 24.9. The journal covers various aspects of adult and paediatric respiratory medicine, including cell biology, epidemiology, immunology, oncology, pathophysiology, imaging, occupational medicine, intensive care, sleep medicine, and thoracic surgery. In addition to original research material, the ERJ publishes editorial commentaries, reviews, short research letters, and correspondence to the editor. The articles are published continuously and collected into 12 monthly issues in two volumes per year.
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