Metabolite Profiling of Herbal Medicines using an Artificial Intelligence Approach-A Concise Review
Artificial intelligence (AI) is being developed extremely swiftly in medicine. A structured review should be conducted to comprehend the current status of AI models since they have been introduced in Traditional medicine to Investigate and classify the present applications of AI in TM. Following the technique suggested by the Joanna Briggs Institute, a thorough scoping review was conducted. To find papers on AI and CAM, three databases were searched: PubMed, Embase, and Cochrane Library. Studies published only in English since 2000 are taken into account. Those without mention of traditional medicine or AI methods were also disqualified, as were studies that were not peer-reviewed. All pertinent studies were located using a comprehensive search technique. This review demonstrated the potential use of AI models in TM; nevertheless, to develop AI in TM in the era of digital health, future research should concentrate on validating and verifying the models by carrying out a sizable clinical investigation.
Authors
- Rajasekharan Somasundaram (ORCID: https://orcid.org/0000-0002-8444-8472)
- M. Srinivas
- Arun S. Shet (ORCID: https://orcid.org/0000-0002-4146-0703)
- S. R. Ramprasad (ORCID: https://orcid.org/0000-0002-9068-8915)
- S. Kaliappan
- S. N. Koteswara Rao G.
Institutions
- Lovely Professional University (IN)
- Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN)
Publication Details
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1109/ictbig64922.2024.10911248
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00