Traditional, complementary, and integrative medicine and artificial intelligence: Novel opportunities in healthcare
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 revolut...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-03-01
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| Series: | Integrative Medicine Research |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213422024000040 |
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| author | Jeremy Y. Ng Holger Cramer Myeong Soo Lee David Moher |
| author_facet | Jeremy Y. Ng Holger Cramer Myeong Soo Lee David Moher |
| author_sort | Jeremy Y. Ng |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-06a43a6e1ea34dc2bc9890acf05558ac |
| institution | DOAJ |
| issn | 2213-4220 |
| language | English |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Integrative Medicine Research |
| spelling | doaj-art-06a43a6e1ea34dc2bc9890acf05558ac2025-08-20T03:17:32ZengElsevierIntegrative Medicine Research2213-42202024-03-0113110102410.1016/j.imr.2024.101024Traditional, complementary, and integrative medicine and artificial intelligence: Novel opportunities in healthcareJeremy Y. Ng0Holger Cramer1Myeong Soo Lee2David Moher3Centre for Journalology, Ottawa Hospital Research Institute, Ottawa, Canada; Institute of General Practice and Interprofessional Care, University Hospital Tübingen, Tübingen, Germany; Robert Bosch Center for Integrative Medicine and Health, Bosch Health Campus, Stuttgart, Germany; Corresponding author at: Centre for Journalology, Ottawa Methods Centre, Ottawa Hospital Research Institute, The Ottawa Hospital, General Campus, 501 Smyth Road, PO BOX 201B, Ottawa, ON K1H 8L6, Canada.Institute of General Practice and Interprofessional Care, University Hospital Tübingen, Tübingen, Germany; Robert Bosch Center for Integrative Medicine and Health, Bosch Health Campus, Stuttgart, GermanyKM Science Research Division, Korea Institute of Oriental Medicine, Daejeon, South KoreaCentre for Journalology, Ottawa Hospital Research Institute, Ottawa, Canada; School of Epidemiology and Public Health, University of Ottawa, Ottawa, CanadaThe 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.http://www.sciencedirect.com/science/article/pii/S2213422024000040Artificial intelligenceComplementary and integrative medicineNovel opportunities in healthcareTraditional medicine |
| spellingShingle | Jeremy Y. Ng Holger Cramer Myeong Soo Lee David Moher Traditional, complementary, and integrative medicine and artificial intelligence: Novel opportunities in healthcare Integrative Medicine Research Artificial intelligence Complementary and integrative medicine Novel opportunities in healthcare Traditional medicine |
| title | Traditional, complementary, and integrative medicine and artificial intelligence: Novel opportunities in healthcare |
| title_full | Traditional, complementary, and integrative medicine and artificial intelligence: Novel opportunities in healthcare |
| title_fullStr | Traditional, complementary, and integrative medicine and artificial intelligence: Novel opportunities in healthcare |
| title_full_unstemmed | Traditional, complementary, and integrative medicine and artificial intelligence: Novel opportunities in healthcare |
| title_short | Traditional, complementary, and integrative medicine and artificial intelligence: Novel opportunities in healthcare |
| title_sort | traditional complementary and integrative medicine and artificial intelligence novel opportunities in healthcare |
| topic | Artificial intelligence Complementary and integrative medicine Novel opportunities in healthcare Traditional medicine |
| url | http://www.sciencedirect.com/science/article/pii/S2213422024000040 |
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