ArticleDigital health
Global trends and hotspots of artificial intelligence in pain management: A bibliometric analysis.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis 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
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Research hotspots, context, and future directions of ulcerative colitis comorbid with depression from 2006 to 2025: a bibliometric and visualization analysis.Frontiers in medicine · 2026Pooled it
- Interpretable Machine Learning Models for Overall Survival Prediction in Stage I-II Endometrial Cancer Patients Receiving Postoperative Adjuvant Chemotherapy: A SEER-Based Study.International journal of women's health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To systematically explore international research trends and dynamics in the interdisciplinary field of artificial intelligence (AI) and pain management over the past decade (2016-2025) and delineate current research frontiers. Methods: Publications were retrieved from Web of Science Core Collection database and subjected to bibliometric analysis. VOSviewer, Scimago Graphica, and other tools were used for bibliometric analysis and visualization. Results: A total of 1022 articles were included. Publication output showed an exponential upward trend overall, despite a temporary slowdown in 2022, followed by accelerated growth from 2023 onward. The United States led in global publication volume and served as the core hub of international collaborative networks, followed by China. In terms of journals, Conclusion: This study maps the evolutionary trajectory of AI research in pain management over the past decade. Future efforts should prioritize strengthening international collaboration, promoting large-scale clinical validation of AI tools, standardizing data sharing, and addressing equity in access to technology to meet unmet clinical needs in pain care.
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.