AHCI RESEARCH GROUP

Publications

Papers published in international journals,
proceedings of conferences, workshops and books.

OUR RESEARCH

Scientific Publications

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2024

Takata, T.; Yamada, R.; Rene, A. Oliveira Nzinga; Xu, K.; Fujimoto, M.

Development of a Virtual Patient Model for Kampo Medical Interview: New Approach for Enhancing Empathy and Understanding of Kampo Medicine Pathological Concepts Proceedings Article

In: Jt. Int. Conf. Soft Comput. Intell. Syst. Int. Symp. Adv. Intell. Syst., SCIS ISIS, Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 979-835037333-2 (ISBN).

Abstract | Links | BibTeX | Tags: Artificial intelligence, Clinical practices, Clinical training, Complementary and alternative medicines, Covid-19, Diagnosis, Educational approach, Empathy, Kampo medical interview, Medical education, Medical student, Medical students, New approaches, Virtual environments, Virtual patient, Virtual patient models, Virtual patients, Virtual Reality

@inproceedings{takata_development_2024,

title = {Development of a Virtual Patient Model for Kampo Medical Interview: New Approach for Enhancing Empathy and Understanding of Kampo Medicine Pathological Concepts},

author = {T. Takata and R. Yamada and A. Oliveira Nzinga Rene and K. Xu and M. Fujimoto},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214666311&doi=10.1109%2fSCISISIS61014.2024.10759962&partnerID=40&md5=2e149e0fe211f586049914e571c6e2fa},

doi = {10.1109/SCISISIS61014.2024.10759962},

isbn = {979-835037333-2 (ISBN)},

year  = {2024},

date = {2024-01-01},

booktitle = {Jt. Int. Conf. Soft Comput. Intell. Syst. Int. Symp. Adv. Intell. Syst., SCIS ISIS},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Global interest in complementary and alternative medicine has increased in recent years, with Kampo medicine in Japan gaining greater trust and use. Detailed patient interviews are essential in Kampo medicine, as the physician's empathy is critical to diagnostic precision. Typically, medical students develop empathy and deepen their understanding of Kampo's pathological concepts through clinical practice. However, the COVID-19 pandemic has imposed significant restrictions on clinical training. To address this challenge, we propose a novel educational approach to enhance empathy and understanding of Kampo medicine by developing a virtual patient application. This application leverages generative artificial intelligence to simulate realistic patient interactions, enabling students to practice Kampo medical interviews in a safe, controlled environment. The AI-generated conversations are designed to reflect the emotional nuances of real-life dialogue, with the virtual patients' facial expressions synchronized to these emotions, thus enhancing the realism of the training. The suggested method allows repeated practice at any time and fosters the development of essential diag-nostic and empathetic skills. While promising challenges remain in improving these simulations' accuracy, further refinements are still under consideration. © 2024 IEEE.},

keywords = {Artificial intelligence, Clinical practices, Clinical training, Complementary and alternative medicines, Covid-19, Diagnosis, Educational approach, Empathy, Kampo medical interview, Medical education, Medical student, Medical students, New approaches, Virtual environments, Virtual patient, Virtual patient models, Virtual patients, Virtual Reality},

pubstate = {published},

tppubtype = {inproceedings}

}

Si, J.; Yang, S.; Song, J.; Son, S.; Lee, S.; Kim, D.; Kim, S.

Generating and Integrating Diffusion Model-Based Panoramic Views for Virtual Interview Platform Proceedings Article

In: IEEE Int. Conf. Artif. Intell. Eng. Technol., IICAIET, pp. 343–348, Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 979-835038969-2 (ISBN).

Abstract | Links | BibTeX | Tags: AI, Deep learning, Diffusion, Diffusion Model, Diffusion technology, Digital elevation model, High quality, Manual process, Model-based OPC, New approaches, Panorama, Panoramic views, Virtual environments, Virtual Interview, Virtual Reality

@inproceedings{si_generating_2024,

title = {Generating and Integrating Diffusion Model-Based Panoramic Views for Virtual Interview Platform},

author = {J. Si and S. Yang and J. Song and S. Son and S. Lee and D. Kim and S. Kim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209663031&doi=10.1109%2fIICAIET62352.2024.10730450&partnerID=40&md5=a52689715ec912c54696948c34fc0263},

doi = {10.1109/IICAIET62352.2024.10730450},

isbn = {979-835038969-2 (ISBN)},

year  = {2024},

date = {2024-01-01},

booktitle = {IEEE Int. Conf. Artif. Intell. Eng. Technol., IICAIET},

pages = {343–348},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {This paper presents a new approach to improve virtual interview platforms in education, which are gaining significant attention. This study aims to simplify the complex manual process of equipment setup to enhance the realism and reliability of virtual interviews. To this end, this study proposes a method for automatically constructing 3D virtual interview environments using diffusion technology in generative AI. In this research, we exploit a diffusion model capable of generating high-quality panoramic images. We generate images of interview rooms capable of delivering immersive interview experiences via refined text prompts. The resulting imagery is then reconstituted 3D VR content utilizing the Unity engine, facilitating enhanced interaction and engagement within virtual environments. This research compares and analyzes various methods presented in related research and proposes a new process for efficiently constructing 360-degree virtual environments. When wearing Oculus Quest 2 and experiencing the virtual environment created using the proposed method, a high sense of immersion was experienced, similar to the actual interview environment. © 2024 IEEE.},

keywords = {AI, Deep learning, Diffusion, Diffusion Model, Diffusion technology, Digital elevation model, High quality, Manual process, Model-based OPC, New approaches, Panorama, Panoramic views, Virtual environments, Virtual Interview, Virtual Reality},

pubstate = {published},

tppubtype = {inproceedings}

}