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http://dx.doi.org/10.15188/kjopp.2021.02.35.1.22

Study on the Perception and Application of AI in Korean Medicine through Practice and Questionnaire of Korean Medicine Using a Diagnostic Expert System  

Yang, Ji-Hyuk (Division of Longevity and Biofunctional Medicine, School of Korean Medicine, Pusan National University)
Woo, Jeong-A (Division of Longevity and Biofunctional Medicine, School of Korean Medicine, Pusan National University)
Shin, Dong-Ha (Division of Electrical Engineering and Computer Science, Sangmyung University)
Park, Suho (Joong-Ang Sangha University)
Kwon, Young-Kyu (Division of Longevity and Biofunctional Medicine, School of Korean Medicine, Pusan National University)
Publication Information
Journal of Physiology & Pathology in Korean Medicine / v.35, no.1, 2021 , pp. 22-27 More about this Journal
Abstract
This study conducted a questionnaire for students of Pusan National University Graduate School of Korean Medicine who practiced using the Oriental Medicine Diagnosis System (ODS). From the questionnaire, this study investigated current state of application and perception of AI in Korean Medicine and explored the direction of ODS improvement and utilization. The survey questions consisted of six questions examining the satisfaction of the diagnostic expert system, five questions evaluating the availability of the diagnostic expert system, and six questions to predict the impact of AI on the Korean medicine community. The survey analysis showed high satisfaction with practice using ODS. On the other hand, the possibility of using ODS, especially in clinical use, was evaluated as relatively low compared to the satisfaction of the practice. Therefore, the overall impact of AI on the Korean medical community is not expected to be large. Although there are difficulties in standardization of clinical data due to the academic characteristics of Korean medicine, it is necessary to continue attempts to apply AI. By actively introducing educational tools using the latest AI techniques to the diagnosis experience and doctor-patient role in a practice, students will be able to increase their satisfaction with their practice and respond appropriately to the state-of-the-art medical environment.
Keywords
Expert System; Artificial intelligence; Remote Practice; Diagnosis;
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  • Reference
1 Turban, Efraim, Aronson, E J. Decision support systems and intelligent systems. 6th ed. Prentice Hall; 2000.
2 Pinto dos Santos D, Giese D, Brodehl S, Chon SH, Staab W, Kleinert R, et al. Medical students' attitude towards artificial intelligence: a multicentre survey. Eur Radiol. 2019;29(4):1640-6.   DOI
3 Gong B, Nugent JP, Guest W, Parker W, Chang PJ, Khosa F, et al. Influence of Artificial Intelligence on Canadian Medical Students' Preference for Radiology Specialty: ANational Survey Study. Acad Radiol. 2019;26(4):566-77.   DOI
4 Kim D. Study on Standardization Strategies for Globalizing Traditional Korean Medicine. Daejeon Univ. 2012.
5 Hwang KS, Park JG, Choi SU, Noh YH, Cho YS, Shin DH, et al. Correlation between Sasang Constitution and Eight Principle Pattern Identification, Qi-Blood Pattern Identification, Bing-Xie Pattern Identification by using Oriental Diagnosis System. J Physiol Pathol Korean Med. 2018;32(6):370-4.   DOI
6 Kim KJ. A Study on KnowledgeBase Construction of Oriental Expert System. Korea Electonic commmunication Inst. 1987.
7 Jiang Y, Zhao C, Zhang X, Shang H cai. Problems and Solving Strategies of Traditional Chinese Medicine Clinical Research in the Artificial Intelligence Era. Chinese J Integr Tradit West Med. 2020;1-3.
8 Zhao Y, LI N, YAN P, MAO X, GAO J, SHANG Z, et al. Research and Development of Artificial Intelligence in Traditional Chinese MedicineNo Title. Chinese J Integr Tradit West Med. 2020;40(6):746-9.
9 Nian W. A Study on the use of a Diagnosis Expert System in Traditional Chinese Medicine Education. Electron World. 2013;21:163.
10 Liao SH. Expert system methodologies and applications-a decade review from 1995 to 2004. Expert Syst Appl. 2005;28(1):93-103.   DOI
11 Shin Y. Market Trend Report of Platform Technology by Artificial Intelligence. Commer Promot Agency R&D Outcomes. 2018;3:57.