ArticleFuture healthcare journal2024
Bibliometric analysis of artificial intelligence in healthcare research: Trends and future directions.
Article in Future healthcare journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Stakeholder experience with artificial intelligence in healthcare: a bibliometric study of satisfaction, trust, acceptance, and patient engagement.Frontiers in digital health · 2026Pooled it
- Research on machine learning-based clinical prediction models: a bibliometric analysis.Frontiers in oncology · 2026Pooled it
- Artificial intelligence in the retraction spotlight: trends, causes and consequences of withdrawn AI literature through a systematic bibliometric review.Frontiers in research metrics and analytics · 2025Pooled it
- Global bibliometric analysis of Tourette syndrome research (1960-2024): trends, collaborations and emerging themes.Frontiers in neurology · 2025Pooled it
- Artificial intelligence in pharmacy and pharmaceutical sciences: Research output, trends, and thematic priorities - A descriptive analysis of web of science-indexed publications (2010-2025).Exploratory research in clinical and social pharmacy · 2026Article
- Bibliometric and Content Analysis of Artificial Intelligence in Smoking Cessation - Worldwide, 1982-2026.China CDC weekly · 2026Article
- Artificial Intelligence in Infectious Disease Research.EcoHealth · 2026Article
- Review
- [Artificial intelligence in surgical disciplines: Clinical application, advantages, and potential-a Delphi expert consensus].Urologie (Heidelberg, Germany) · 2026Article
- Decolonising global health through implementation science: defining the path to equity and structural transformation.BMJ open · 2026Review
- Adherent-InvasiveMicroorganisms · 2026Article
- Global Sentiment Toward Health AI at the Dawn of the ChatGPT Era: Empirical Analysis of Twitter (X) Discourse.Journal of medical Internet research · 2026Article
- Are AI Neuroimaging Models Ready for Clinical Use? A Systematic Methodological Review.Journal of clinical medicine · 2026Review
- Mapping the Landscape of Medical AI Research in Korea Using Topic Modeling.Healthcare (Basel, Switzerland) · 2026Review
- Vaccines for microbial eye diseases in the era of data science: opportunities and challenges.Frontiers in immunology · 2026Review
- Machine Learning in Tuberculosis Research: A Global Bibliometric Analysis of Diagnostic, Prognostic, and Drug Discovery Trends.Therapeutic innovation & regulatory science · 2026Article
- Convergence mapping analysis of interdisciplinary linkages in health services management.BMC health services research · 2025Article
- Radiation effects research foundation-a view to the future.Carcinogenesis · 2025Article
- Utilization of Artificial Intelligence in Reducing the Incidence of Medication Error: A Bibliometric Analysis.Health science reports · 2025Article
- AI in Qualitative Health Research Appraisal: Comparative Study.JMIR formative research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: The presence of artificial intelligence (AI) in healthcare is a powerful and game-changing force that is completely transforming the industry as a whole. Using sophisticated algorithms and data analytics, AI has unparalleled prospects for improving patient care, streamlining operational efficiency, and fostering innovation across the healthcare ecosystem. This study conducts a comprehensive bibliometric analysis of research on AI in healthcare, utilising the SCOPUS database as the primary data source. Methods: Preliminary findings from 2013 identified 153 publications on AI and healthcare. Between 2019 and 2023, the number of publications increased exponentially, indicating significant growth and development in the field. The analysis employs various bibliometric indicators to assess research production performance, science mapping techniques, and thematic mapping analysis. Results: The study reveals insights into research hotspots, thematic focus, and emerging trends in AI and healthcare research. Based on an extensive examination of the Scopus database provides a brief overview and suggests potential avenues for further investigation. Conclusion: This article provides valuable contributions to understanding the current landscape of AI in healthcare, offering insights for future research directions and informing strategic decision making in the field.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.