ABSTRACT
At the 71st Annual Meeting of the Japan Society for Oriental Medicine held in August 2021, we conducted a special program focusing on Kampo medicine education, “Pre-graduation post-graduation Kampo medicine education for the next generation.” The following is a summary report on the practical training in Kampo medicine at each educational facility where the project was conducted. We recorded videos with explanations of topics in advance : “Four examinations,” “Decoction and crude drugs,” and “Acupuncture and moxibustion.” The report on the hands-on training in Kampo medicine was viewed 501 times by medical students, educators, and the society members across the country. This initiative was the first nationwide educational activity of the society.
ABSTRACT
@#Traditional Chinese medicine (TCM) diagnosis is a unique disease diagnosis method with thousands of years of TCM theory and effective experience. Its thinking mode in the process is different from that of modern medicine, which includes the essence of TCM theory. From the perspective of clinical application, the four diagnostic methods of TCM, including inspection, auscultation and olfaction, inquiry, and palpation, have been widely accepted by TCM practitioners worldwide. With the rise of artificial intelligence (AI) over the past decades, AI based TCM diagnosis has also grown rapidly, marked by the emerging of a large number of data-driven deep learning models. In this paper, our aim is to simply but systematically review the development of the data-driven technologies applied to the four diagnostic approaches, i.e. the four examinations, in TCM, including data sets, digital signal acquisition devices, and learning based computational algorithms, to better analyze the development of AI-based TCM diagnosis, and provide references for new research and its applications in TCM settings in the future.