Artificial Intelligence (AI) for global health and advancing traditional medicine: Report of the proceedings
Artificial Intelligence (AI) has significantly transformed healthcare. The Global Technical Meeting on AI for Global Health and Advancing Traditional Medicine (TM) hosted by the World Health Organization, International Telecommunication, and World Intellectual Property (IP) Organization, was held at the All India Institute of Ayurveda (AIIA), New Delhi. The event addressed AI’s potential in enhancing diagnostics, research, and knowledge preservation within TM, with specific attention to regulatory and ethical considerations. Objectives included sharing insights on AI applications in TM, fostering collaborative education, and developing skills for practitioners to harness AI effectively. Structured around four key themes, the meeting covered digital health initiatives, IP in TM, a training framework for stakeholders, and the creation of a TM Global Library. Through expert panels, group discussions, and collaborative sessions, participants discussed integrating AI into TM, IP protection strategies, and building a global digital TM repository. The outcomes shall aim to guide AI-enabled innovation in TM, forming a basis for robust global policies, ethical standards, and tailored AI ecosystems in TM.
Authors
- Shyama Kuruvilla (ORCID: https://orcid.org/0000-0002-0327-4467)
- Lori McDougall
- M. S. Anagha (ORCID: https://orcid.org/0009-0008-7540-3046)
- K. P. Karthik
- Maki Kajiwara
- Sameer Pujari (ORCID: https://orcid.org/0000-0003-4998-3880)
- Rudra Pratap Singh (ORCID: https://orcid.org/0000-0001-7352-855X)
- Manjeet Singh Saluja
- Sheetal Shetty (ORCID: https://orcid.org/0000-0001-7645-4701)
- Tanuja Manoj Nesari (ORCID: https://orcid.org/0000-0002-1312-442X)
- Jyothi P. S. Arshath
Institutions
- National Institute of Ayurveda (IN)
- World Health Organization - India (IN)
- M. P. Shah Medical College (IN)
Publication Details
- Journal
- International Journal of Ayurveda Research
- Published
- 2024-10-01
- DOI
- https://doi.org/10.4103/ijar.ijar_296_24
- Citations
- 4
- Primary Topic
- Genetics, Bioinformatics, and Biomedical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.94