AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can expand the Abstract, Links and BibTex record for each paper.
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}
}
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.
Samson, J.; Lameras, P.; Taylor, N.; Kneafsey, R.
Fostering a Co-creation Process for the Development of an Extended Reality Healthcare Education Resource Proceedings Article
In: M.E., Auer; T., Tsiatsos (Ed.): Lect. Notes Networks Syst., pp. 205–212, Springer Science and Business Media Deutschland GmbH, 2024, ISBN: 23673370 (ISSN); 978-303156074-3 (ISBN).
Abstract | Links | BibTeX | Tags: Artificial intelligence, Co-creation, Creation process, Diagnosis, Education computing, Education resource, Extended reality, Health care education, Hospitals, Immersive, Inter professionals, Interprofessional Healthcare Education, Software products, Students, Virtual patients
@inproceedings{samson_fostering_2024,
title = {Fostering a Co-creation Process for the Development of an Extended Reality Healthcare Education Resource},
author = {J. Samson and P. Lameras and N. Taylor and R. Kneafsey},
editor = {Auer M.E. and Tsiatsos T.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189759614&doi=10.1007%2f978-3-031-56075-0_20&partnerID=40&md5=6ae832882a2e224094c1beb81c925333},
doi = {10.1007/978-3-031-56075-0_20},
isbn = {23673370 (ISSN); 978-303156074-3 (ISBN)},
year = {2024},
date = {2024-01-01},
booktitle = {Lect. Notes Networks Syst.},
volume = {937 LNNS},
pages = {205–212},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {The aim of this research is to create an immersive healthcare education resource using an extended reality (XR) platform. This platform leverages an existing software product, incorporating virtual patients with conversational capabilities driven by artificial intelligence (AI). The initial stage produced an early prototype focused on assessing an elderly virtual patient experiencing frailty. This scenario encompasses the hospital admission to post-discharge care at home, involving various healthcare professionals such as paramedics, emergency clinicians, diagnostic radiographers, geriatricians, physiotherapists, occupational therapists, nurses, operating department practitioners, dietitians, and social workers. The plan moving forward is to refine and expand this prototype through a co-creation with diverse stakeholders. The refinement process will include the introduction of updated scripts into the standard AI model. Furthermore, these scripts will be tested against a new hybrid model that combines generative AI. Ultimately, this resource will be co-designed to create a learning activity tailored for occupational therapy and physiotherapy students. This activity will undergo testing with a cohort of students, and the outcomes of this research are expected to inform the future development of interprofessional virtual simulated placements (VSPs). These placements will complement traditional clinical learning experiences, offering students an immersive environment to enhance their skills and knowledge in the healthcare field. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.},
keywords = {Artificial intelligence, Co-creation, Creation process, Diagnosis, Education computing, Education resource, Extended reality, Health care education, Hospitals, Immersive, Inter professionals, Interprofessional Healthcare Education, Software products, Students, Virtual patients},
pubstate = {published},
tppubtype = {inproceedings}
}
The aim of this research is to create an immersive healthcare education resource using an extended reality (XR) platform. This platform leverages an existing software product, incorporating virtual patients with conversational capabilities driven by artificial intelligence (AI). The initial stage produced an early prototype focused on assessing an elderly virtual patient experiencing frailty. This scenario encompasses the hospital admission to post-discharge care at home, involving various healthcare professionals such as paramedics, emergency clinicians, diagnostic radiographers, geriatricians, physiotherapists, occupational therapists, nurses, operating department practitioners, dietitians, and social workers. The plan moving forward is to refine and expand this prototype through a co-creation with diverse stakeholders. The refinement process will include the introduction of updated scripts into the standard AI model. Furthermore, these scripts will be tested against a new hybrid model that combines generative AI. Ultimately, this resource will be co-designed to create a learning activity tailored for occupational therapy and physiotherapy students. This activity will undergo testing with a cohort of students, and the outcomes of this research are expected to inform the future development of interprofessional virtual simulated placements (VSPs). These placements will complement traditional clinical learning experiences, offering students an immersive environment to enhance their skills and knowledge in the healthcare field. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.