AI Article Synopsis
- Traditional Chinese Medicine (TCM) has a long history and is effective for many illnesses, but its diagnosis lacks objective standards.
- Ongoing advancements in machine learning (ML) and deep learning (DL) present opportunities to modernize TCM, particularly through applications in areas like tongue and pulse diagnosis.
- This review highlights the integration of ML and DL in TCM, discusses successful applications, and addresses the challenges faced in further developing TCM with these technologies.
Article Abstract
Traditional Chinese medicine (TCM) has been used for thousands of years and has been proven to be effective at treating many complicated illnesses with minimal side effects. The application and advancement of TCM are, however, constrained by the absence of objective measuring standards due to its relatively abstract diagnostic methods and syndrome differentiation theories. Ongoing developments in machine learning (ML) and deep learning (DL), specifically in computer vision (CV) and natural language processing (NLP), offer novel opportunities to modernize TCM by exploring the profound connotations of its theory. This review begins with an overview of the ML and DL methods employed in TCM; this is followed by practical instances of these applications. Furthermore, extensive discussions emphasize the mature integration of ML and DL in TCM, such as tongue diagnosis, pulse diagnosis, and syndrome differentiation treatment, highlighting their early successful application in the TCM field. Finally, this study validates the accomplishments and addresses the problems and challenges posed by the application and development of TCM powered by ML and DL. As ML and DL techniques continue to evolve, modern technology will spark new advances in TCM.
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| http://dx.doi.org/10.1142/S0192415X24500265 | DOI Listing |
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