ArticleIntegrative medicine research2024
Traditional, complementary, and integrative medicine and artificial intelligence: Novel opportunities in healthcare.
Article in Integrative medicine research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 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
22 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Impact of integrative therapies on glycemic control in type 1 diabetes: a systematic review and global research landscape.Frontiers in clinical diabetes and healthcare · 2026Pooled it
- Effectiveness of generative artificial intelligence-based teaching versus traditional teaching methods in medical education: a meta-analysis of randomized controlled trials.BMC medical education · 2025Pooled it
- Changes in knowledge and perceptions following online education in traditional, Complementary, and Integrative medicine.BMC complementary medicine and therapies · 2026Article
- Patients and donors trust in data authorization for AI-based medical research.Scientific reports · 2026Article
- Traditional, complementary, and integrative medicine in a rapidly digitalizing research environment: ethics and intellectual property considerations.BMC complementary medicine and therapies · 2026Article
- Determinants of herbal medical services utilization among retired personnel in the Greater Accra Region of Ghana.BMC complementary medicine and therapies · 2026Article
- Artificial Intelligence in Traditional Chinese Medicine: Unraveling Herbal Medicine's Mechanisms.Research (Washington, D.C.) · 2026Review
- Integrative Machine Learning of Genetic and Lifestyle Factors for Personalized Skin Health.IEEE journal of translational engineering in health and medicine · 2026Article
- Prompt engineering for generative artificial intelligence chatbots in health research: A practical guide for traditional, complementary, and integrative medicine researchers.Integrative medicine research · 2025Article
- A national survey on the integration of traditional Chinese medicine and artificial intelligence: attitudes and perceptions from the individuals with health needs.Integrative medicine research · 2025Article
- A national survey on how to improve the integration of traditional Chinese medicine and artificial intelligence: Attitudes and perceptions from medical staff.Integrative medicine research · 2025Article
- Artificial intelligence in traditional medicine: policy and governance strategies.Bulletin of the World Health Organization · 2025Article
- Artificial intelligence in allergy practice: Digital transformation and the future of clinical care.The World Allergy Organization journal · 2025Review
- Complementary medicines and ginseng for inflammatory bowel disease-rooted in science, but will it bear fruit?World journal of gastroenterology · 2025Article
- Writing the Future: Artificial Intelligence, Handwriting, and Early Biomarkers for Parkinson's Disease Diagnosis and Monitoring.Biomedicines · 2025Review
- Exploring the intersection of brain-computer interfaces and traditional, complementary, and integrative medicine.Integrative medicine research · 2025Article
- Assessing the relationship between supervisor knowledge sharing and innovative behaviors among clinical nurses: the mediating role of organizational learning.BMC nursing · 2025Article
- A review of recent artificial intelligence for traditional medicine.Journal of traditional and complementary medicine · 2025Review
- A comprehensive review on indigenous therapeutic approaches in kidney care using Ayush medicine.Frontiers in pharmacology · 2025Review
- Integrative approaches in Alzheimer's disease: evaluating the potential of traditional, complementary, and integrative medicine (TCIM).Frontiers in pharmacology · 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
The convergence of traditional, complementary, and integrative medicine (TCIM) with artificial intelligence (AI) is a promising frontier in healthcare. TCIM is a patient-centric approach that combines conventional medicine with complementary therapies, emphasizing holistic well-being. AI can revolutionize healthcare through data-driven decision-making and personalized treatment plans. This article explores how AI technologies can complement and enhance TCIM, aligning with the shared objectives of researchers from both fields in improving patient outcomes, enhancing care quality, and promoting holistic wellness. This integration of TCIM and AI introduces exciting opportunities but also noteworthy challenges. AI may augment TCIM by assisting in early disease detection, providing personalized treatment plans, predicting health trends, and enhancing patient engagement. Challenges at the intersection of AI and TCIM include data privacy and security, regulatory complexities, maintaining the human touch in patient-provider relationships, and mitigating bias in AI algorithms. Patients' trust, informed consent, and legal accountability are all essential considerations. Future directions in AI-enhanced TCIM include advanced personalized medicine, understanding the efficacy of herbal remedies, and studying patient-provider interactions. Research on bias mitigation, patient acceptance, and trust in AI-driven TCIM healthcare is crucial. In this article, we outlined that the merging of TCIM and AI holds great promise in enhancing healthcare delivery, personalizing treatment plans, preventive care, and patient engagement. Addressing challenges and fostering collaboration between AI experts, TCIM practitioners, and policymakers, however, is vital to harnessing the full potential of this integration.
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.