| Paper Abstract and Keywords |
| Presentation |
2024-09-27 11:15
Development of a virtual patient model for Kampo medical interview
-- New approach for enhancing empathy and understanding of Kampo medicine pathologic concepts -- Tomiki Takata (Toyama Prefectural Univ.), Rie Yamada (University of Toyama), Antonio Oliveira Nzinga Rene (Toyama Prefectural Univ.), Xu Kuangzhe (Hirosaki Univ.), Makoto Fujimoto (University of Toyama) MVE2024-23 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In Kampo medicine, detailed medical interviews are crucial, and the physician’s ability to empathize significantly influences the accuracy of the diagnosis. Medical students enhance their empathy and deepen their understanding of Kampo’s pathological concepts through clinical practice. However, COVID-19 pandemic has imposed restrictions on clinical practice for medical students. We propose a new educational method to improve medical students’ empathy and understanding of Kampo medicine’s pathological concepts by developing a virtual patient application that simulates Kampo medical interviews. The application utilizes generative AI to create realistic patient scenarios, allowing students to practice and refine their interview skills in a safe and controlled environment. The AI-generated conversations are designed to replicate the emotional nuances of real-life interactions, with the virtual patients’ facial expressions synchronized to these emotions to enhance the realism of the
training experience. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Kampo medical interview / Empathy / Virtual patient / Medical student / Artificial intelligence / Generative AI / / |
| Reference Info. |
IEICE Tech. Rep., vol. 124, no. 192, MVE2024-23, pp. 49-53, Sept. 2024. |
| Paper # |
MVE2024-23 |
| Date of Issue |
2024-09-19 (MVE) |
| ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Download PDF |
MVE2024-23 |
| Conference Information |
| Committee |
MVE HI-SIG-DeMO VRSJ-SIG-CS VRSJ-SIG-MR |
| Conference Date |
2024-09-26 - 2024-09-27 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
|
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
MVE |
| Conference Code |
2024-09-MVE-SIG-DeMO-SIG-CS-SIG-MR |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Development of a virtual patient model for Kampo medical interview |
| Sub Title (in English) |
New approach for enhancing empathy and understanding of Kampo medicine pathologic concepts |
| Keyword(1) |
Kampo medical interview |
| Keyword(2) |
Empathy |
| Keyword(3) |
Virtual patient |
| Keyword(4) |
Medical student |
| Keyword(5) |
Artificial intelligence |
| Keyword(6) |
Generative AI |
| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Tomiki Takata |
| 1st Author's Affiliation |
Toyama Prefectural University (Toyama Prefectural Univ.) |
| 2nd Author's Name |
Rie Yamada |
| 2nd Author's Affiliation |
University of Toyama (University of Toyama) |
| 3rd Author's Name |
Antonio Oliveira Nzinga Rene |
| 3rd Author's Affiliation |
Toyama Prefectural University (Toyama Prefectural Univ.) |
| 4th Author's Name |
Xu Kuangzhe |
| 4th Author's Affiliation |
Hirosaki University (Hirosaki Univ.) |
| 5th Author's Name |
Makoto Fujimoto |
| 5th Author's Affiliation |
University of Toyama (University of Toyama) |
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| Speaker |
Author-1 |
| Date Time |
2024-09-27 11:15:00 |
| Presentation Time |
25 minutes |
| Registration for |
MVE |
| Paper # |
MVE2024-23 |
| Volume (vol) |
vol.124 |
| Number (no) |
no.192 |
| Page |
pp.49-53 |
| #Pages |
5 |
| Date of Issue |
2024-09-19 (MVE) |