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Link to original content: https://doi.org/10.1007/BF01889940
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AI in medicine: A Japanese perspective

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Abstract

This article is concerned with the history and current state of research activities into medical expert systems (MES) in Japan. A brief review of expert systems' work over the last ten years is provided and here is a discussion on future directions of artificial intelligence (AI) applications in medicine, which we expect the Japanese AI community in medicine (AIM) to undertake.

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References

  1. Shortliffe, E. (1974).Computer-Based Medical Consultations: MYCIN, Elsevier Computer Science Library.

  2. Fijisawa, K. (1963).Diagnostic Engineering (Japanese), Igakusyoin Pub.

  3. Miyawaki, K, Namba, H. and Nakamura, K. (1963). Differential diagnosis of liver function test by a computer.Jpn. J. Med. Elect. & Biol. Eng., 1, 299–308.

    Google Scholar 

  4. Matsuo, M. and Yamamoto, M. (1966). Automated diagnosis of arrhythmia.Jpn. J. Med. Elect. & Biol. Eng., 4, 126–135.

    Google Scholar 

  5. Takahashi, K. (1969).Statistical Diagnosis (Japanese), Tokyo University Press.

  6. Furukawa, T., Inoue, M., Kajiya, F., Inada, H., Takasugi, S., Fukui, S., Takeda, H. and Abe, H. (1975). Assessment of biological age by multiple regression analysis.J. of Gerontology, 30, 422–434.

    Google Scholar 

  7. Furukawa, T., Takasugi, S., Kato, T., Urakabe, S., Inoue, M., Kajiya, F., Inada H. and Abe H. (1977). Prediction of the effect of corticosteroid idiopathic nephrotic syndrome based on a discriminant function.Contributions to Nephrology, 6, 61–72.

    Google Scholar 

  8. Koyama, T. and Kaihara, S. (1981). Time oriented features for medical consultation systems.Proc. of 7th. IJCAI.

  9. Koyama, T. and Kaihara, S. (1983). MECS-AI: development of a general purpose medical consultation system, MEDINFO-83. In van Bemmel, Ball and Wigertz (eds) North-Holland, 507–510.

  10. Kitazawa, Y., Shirato, S. and Mizoguchi, F. (1980). Evaluation of the G4-expert glaucoma consultation system, MEDINFO-80. In Lindberg and Kaihara (eds), North-Holland, 774–778.

  11. Weiss, S. (1989). Knowledge acquisition and refinement using meta-rules, in artificial intelligences in medicine. In T. Furukawa (eds), Tokyo University Press, 41–54.

  12. Mizoguchi, F.et al. (1984). LOOKS: knowledge representation system for designing expert systems in a logic programming framework.Fifth Generation Comp. Symp.

  13. Ueno, H., Lindberg, D. A. B., Kingsland III, L. C. and Esther, J. H. (1980). Design of a criteria-based rheumatology consultation system for microcomputer, MEDINFO-80. In Lindberg and Kaihara (eds), North-Holland, 1316–1320.

  14. Kimura, K. and Shimizuet al. (1983). Knowledge based antibiotic counselling system: ANTICIPATOR and its implementation by Prolog, MEDINFO 83. In van Bemmel, Ball and Wigertz (eds), North-Holland, 589–592.

  15. Kimura, M., Matumura, Y., Matunaga, T., Hata, R. and Matumura, H. (1985). RHINOS: a consultation system for diagnoses of headache and facial pain.Proc. of 9th IJCAI, 393–396.

  16. Hasegawa, Y. and Sugiyama, K. (1984). Medical consultation system for metabolic birth defects.Jap. J. Med. Informatics, 3, 172–182.

    Google Scholar 

  17. Akiba, Y., Tanaka, H., Nakazawa, S. and Furukawa, T. (1983). A microcomputer-aided fluid therapy consultation system, MEDINFO 83. In van Bemmel, Ball and Wigertz (eds), North-Holland, 585–588.

  18. Hara, S., Tanaka, H. and Furukawa, T. (1986). Fluid therapy consultation system (FLUIDEX).Automedica, 7, 1–13.

    Google Scholar 

  19. Furukawa, T., Tanaka, H. and Hara, S. (1987). FLUIDEX — A microcomputer based expert system for fluid therapy consultation. In M. Chytil and R. Engeibrecht (eds), SIGMA Press.

  20. Tumura, H., Masuzawa, S. and Miyake, H. (1986). Patient oriented multidisciplinary medical consultation system, MEDINFO 86. In Shortliffe (ed), North-Holland.

  21. Tanaka, H., Isozaki, H. and Furukawa, T. (1986). Causal understanding of biological behaviour by artificial intelligence theory.Proc. Jap. Joint Conf. of Med. Informatics, 39–42.

  22. Tumoto, S., Kimura, M.et al. (1986). The topological representation and the geometrical representation of neuroanatomical knowledge.Proc. Jap. Joint Conf. of Med. Informatics, 29–32.

  23. Oe, K., Kimura, M.et al. (1986). Analysis of structure of medical knowledge.Proc. Jap. Joint Conf. of Med. Informatics, 33–36.

  24. Inaoka, N. and Kinoshita, T. (1986). Structuring knowledge-base in acquisition process.Proc. Jap. Joint Conf. of Med. Informatics, 37–38.

  25. Oda, N. and Asai, T. (1986). An experiment of automatic course-finding-pattern extraction system.Proc. Jap. Joint Conf. of Med. Informatics, 59–60.

  26. Nagasaka, T. and Takahashi, T. (1987). Artificial intelligence approach to a medical database.Jap. J. Med. Informatics, 7, 135–144.

    Google Scholar 

  27. Zhunahi, Y., Kuwahara, M.et al. (1987). A diagnosis support system for the interpretation of brain CT images.Proc. Japan Soc. ME & BE., 454.

  28. Ikeda, H., Ohtomo, M. and Kambe, M. (1986). Intelligent access of health care database.Proc. IFIP-IMIA, 257–259.

  29. Tanaka, H. and Furukawa, T. (1989). Current state of medical expert systems in medicine, in artificial intelligence in medicine. In Furukawa (ed.), Tokyo University Press, 155–171.

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Authors and Affiliations

  1. Institute of Medical Electronics, Faculty of Medicine, University of Tokyo, Japan

    Toshiyuki Furukawa

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  1. Toshiyuki Furukawa
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Furukawa, T. AI in medicine: A Japanese perspective. AI & Soc 4, 196–213 (1990). https://doi.org/10.1007/BF01889940

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