ReviewIntegrative medicine research2025
Exploring the potential of acupuncture practice education using artificial intelligence.
Review in Integrative medicine research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
- Immersive virtual reality for acupuncture knowledge and practical skills: a comparative educational study.Frontiers in public health · 2026Trial
- Chinese acupoint therapies in cancer pain management: research advances and future perspectives.Pain management · 2025Review
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
Generative artificial intelligence (AI) is being applied in various areas such as education, clinical practice, and research within the medical field. This review explores the potential use of AI models in acupuncture practice education. Recent and relevant findings were searched from literature. Active research on the use of AI in acupuncture education, particularly in areas such as acupoint selection and acupuncture manipulation, is ongoing. Additionally, AI-powered educational tools are being developed in the field of traditional medicine. The development of AI-driven educational tools for acupuncture education holds significant potential to enhance the effectiveness and efficiency of traditional medicine education.
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.