ReviewChinese medicine2022
Artificial intelligence-directed acupuncture: a review.
Review in Chinese medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.
- Integrating machine learning into acupuncture research: a scoping review.Frontiers in neurology · 2025Pooled it
- Immersive virtual reality for acupuncture knowledge and practical skills: a comparative educational study.Frontiers in public health · 2026Trial
- Effect of transcutaneous electrical acupoint stimulation on major complications after cerebral endovascular procedures (ASSET): study protocol for a randomized controlled trial.International journal of surgery protocols · 2026Article
- Evaluating Feature-Based Homography Pipelines for Dual-Camera Registration in Acupoint Annotation.Journal of imaging · 2025Article
- Advancing Safety in Acupuncture: Strategies, Best Practices, and Training for a Risk-Free Practice.Medical acupuncture · 2025Article
- Chinese acupoint therapies in cancer pain management: research advances and future perspectives.Pain management · 2025Review
- A review of recent artificial intelligence for traditional medicine.Journal of traditional and complementary medicine · 2025Review
- Acupoint massage: a comprehensive descriptive review of its forms, applications, and underlying mechanisms.Chinese medicine · 2025Review
- Developing a deep learning model for the automated monitoring of acupuncture needle insertion: enhancing safety in traditional acupuncture practices.BMC complementary medicine and therapies · 2025Article
- Exploring the potential of acupuncture practice education using artificial intelligence.Integrative medicine research · 2025Review
- Research on acupuncture robots based on the OptiTrack motion capture system and a robotic arm.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2025Article
- Pharmaceutical Humanities and Narrative Pharmacy: An Emerging New Concept in Pharmacy.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Application of Acupuncture in Diabetic Vascular Complications: Efficacy and Potential Mechanisms.Journal of diabetes research · 2025Review
- Artificial intelligence in acupuncture: bridging traditional knowledge and precision integrative medicine.Frontiers in medicine · 2025Review
- AI-Assisted Knee Infrared Imaging Based Acupuncture for Treating Knee Osteoarthritis: A Randomized Controlled Study Protocol.Journal of pain research · 2025Article
- Modeling the therapeutic dynamics of acupuncture and moxibustion: a systems biology approach to treatment optimization.Computational and structural biotechnology journal · 2025Article
- Data Ownership in the AI-Powered Integrative Health Care Landscape.JMIR medical informatics · 2024Article
- Article
- Traditional, complementary, and integrative medicine and artificial intelligence: Novel opportunities in healthcare.Integrative medicine research · 2024Article
- Real-time location of acupuncture points based on anatomical landmarks and pose estimation models.Frontiers in neurorobotics · 2024Article
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 at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acupuncture is widely used around the whole world nowadays and exhibits significant efficacy against many chronic diseases, especially in pain-related diseases. With the rapid development of artificial intelligence (AI), its implementation into acupuncture has achieved a series of significant breakthroughs in many areas of acupuncture practice, such as acupoints selection and prescription, acupuncture manipulation identification, acupuncture efficacy prediction, and so on. The paper will discuss the significant theoretical and technical achievements in AI-directed acupuncture. AI-based data mining methods uncovered crucial acupoint combinations for treating various diseases, which provide a scientific basis for acupoints prescription in clinical practice. Furthermore, the rapid development of modern TCM instruments facilitates the integration of modern medical instruments, AI techniques, and acupuncture. This integration significantly improves the quantification, objectification, and standardization of acupuncture as well as the delivery of clinical personalized acupuncture therapy. Machine learning-based clinical efficacy prediction of acupuncture can help doctors screen patients who may benefit from acupuncture treatment. However, the existing challenges require additional work for developing AI-directed acupuncture. Some include a better understanding of ancient Chinese philosophy for AI researchers, TCM acupuncture theory-based explanation of the knowledge discoveries, construction of acupuncture databases, and clinical trials for novel knowledge validation. This review aims to summarize the major contribution of AI techniques to the discovery of novel acupuncture knowledge, the improvement for acupuncture safety and efficacy, the development and inheritance of acupuncture, and the major challenges for the further development of AI-directed acupuncture. The development of acupuncture can progress with the help of AI.
Indexed as
Identifiers
What Socratic 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 Socratic graph.