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Teacher name ： Syoji Kobashi
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The course numbering code represents the faculty managing the subject, the department of the target students, and the education category (liberal arts / specialized course). For detailed information, please download the separate manual from the upper right 'question mark'.
Syoji Kobashi,八木 直美,Fujita Takayuki,伊藤 美紀子,川崎 優子
Graduate schoo of engineering
School of human science and environment
College of nursing art and science
Advanced medical engineering research institute
This course is conducted primarily in Japanese.
Office hours are held on Thursdays from 12:10 to 13:00 and will be conducted via an online meeting system.
Students who wish to attend are required to make a reservation in advance through the Q&A function of Universal Passport.
Please contact the course instructors via the Q&A function of Universal Passport (unipa).
A double circle indicates the most relevant DP number and a circle indicates the associated DP.
[Course Objectives]Medical engineering is an interdisciplinary field at the intersection of medicine and engineering that supports modern healthcare through advanced medical devices, medical image analysis, medical information systems, and healthcare AI. The objective of this course is to provide a systematic understanding of the roles and applications of engineering technologies in medical and healthcare fields, as well as current research trends and real-world challenges. In addition, the course aims to develop fundamental analytical skills for addressing medical challenges from an engineering perspective and connecting them to research, development, and social implementation.
[Learning Outcomes]
Upon successful completion of this course, students will be able to:Explain major engineering technologies in the medical and healthcare fields and their respective roles.Organize and discuss research and development trends and challenges in medical engineering using concrete examples.Analyze medical and societal issues from an engineering perspective and consider possible directions for their resolution.
Subtitle: Integration of medical and engineering Keywords - Medical Engineering
- Healthcare Technology
- Medical Devices and Systems
- Medical Image Analysis
- Interdisciplinary Approach
[Course Description]
This course provides an overview of the field of medical engineering, an interdisciplinary domain at the intersection of medicine and engineering. In particular, the course covers applications of engineering technologies in the fields of medical and healthcare devices, nursing and caregiving based on engineering technologies, as well as food and nutrition sciences, incorporating recent examples.
The course is conducted in an omnibus format and includes lectures by both faculty members and external lecturers with practical experience in clinical settings and related industries. Through these lectures, students will learn about the current state, challenges, and future prospects of medical engineering from multiple perspectives.
In the latter part of the course, group work will be conducted to encourage discussion and analysis of specific issues related to the integration of medicine and engineering, thereby deepening students’ understanding. Please note that the order of lectures and the instructors may be subject to change. [Course Schedule] Medical Engineering Research at the University of Hyogo
(Overview of medical engineering research and initiatives at the University of Hyogo)
Instructor: Kobashi Artificial Intelligence and Medicine
(Applications and challenges of AI technologies in the medical field)
Instructor: Kobashi Data Health
(Use of medical data and advancement of healthcare services)
Instructor: Yagi Nursing Care × Digital Health: Challenges and Innovations
(Use of digital technologies in nursing and caregiving fields)
Instructor: Kawasaki Food and Nutrition in Relation to Medicine and Engineering
(Integration of nutritional science and engineering technologies)
Instructor: Ito Bridging Medicine and Engineering: The Role of Clinical Engineers
(Professional practice of engineering specialists in clinical settings)
External Lecturer, Instructor: Kobashi Medical Device Industry and Engineering Technologies from the Perspective of Medical Device Distributors
(Structure of the medical device industry and the importance of engineering technologies)
External Lecturer, Instructor: Kobashi Medical Imaging Ventures and Future Perspectives
(Medical imaging technologies and industrial development)
External Lecturer, Instructor: Kobashi Applications of AI and IoT in Nursing and Caregiving
(Next-generation support technologies for nursing and caregiving)
External Lecturer, Instructor: Kobashi Advances in Orthopedic Medicine Supported by Engineering
(Contributions of biomedical, materials, mechanical, and information engineering)
External Lecturer, Instructor: Kobashi Research and Development Case Studies in Medical Device Manufacturers
(Practical examples of medical device development in industry)
External Lecturer, Instructor: Kobashi Medical Device Development Originating from Clinical Practice
(Clinical needs and engineering approaches)
External Lecturer, Instructor: Kobashi Medical and Nursing Support Using IoT
(Medical support systems utilizing IoT technologies)
Instructor: Fujita Group Work on Medicine and Engineering (1)
(Problem setting and group discussion)
Instructor: Kobashi Group Work on Medicine and Engineering (2)
(Presentations and comprehensive discussion)
Instructor: Kobashi
This course is offered in a hybrid format that combines face-to-face instruction with live online delivery. Classes are conducted primarily in person, with simultaneous streaming provided to other campuses. The online component is intended to supplement the face-to-face instruction, and the number of in-person sessions exceeds that of online sessions throughout the course. Therefore, this course is not subject to the credit limits for distance learning.
Limited permission for use
The use of generative AI is permitted for preparing reports and presentation materials. However, its use is limited to supplementary purposes such as information gathering, developing content structures, rephrasing expressions, and refining written text. Submitting text or content generated by generative AI without modification is not permitted. Even when referring to outputs produced by generative AI, all submitted work must be based on the student’s own understanding and written in the student’s own words.
If text created using generative AI is used without appropriate verification or revision, or if it is determined that the core content of an assignment relies excessively on generative AI, such use will be regarded as inappropriate. In cases where inappropriate use is identified, course credit may not be granted, or previously awarded credit may be revoked.
No textbooks are required. Lecture slides will be distributed in advance via Unipa.
Students may access the university-subscribed e-book service (MARUZEN) free of charge.
https://lib.liac.u-hyogo.ac.jp/liac/1/
Dohi, T. (Ed.)
Iyou Kougaku no Kiso (Fundamentals of Medical Engineering)
Tokyo Denki University Press, 2019
ISBN: 978-4-501-33320-1
[Preparation]
Prior to each class, students are expected to review the lecture slides and distributed materials made available in advance in order to understand the overview of the lecture content. The estimated preparation time is approximately 2 hours per session, for a total of about 26 hours over 13 lecture sessions.
In addition, students should prepare for group work presentations by organizing content, creating presentation materials, and practicing their presentations. The total time allocated for these activities is approximately 4 hours.
[Review]
After each class, students should review the lecture content to deepen their understanding. In addition, students will prepare reports on topics related to the lectures. Report writing will be conducted over all 15 sessions, with an estimated total workload of approximately 30 hours.
In total, the combined time for preparation and review is designed to be approximately 60 hours of out-of-class study.
This course incorporates active learning to promote students’ independent and proactive learning. In each class session, time is allocated for questions and discussions based on the lecture content, providing students with opportunities to think critically and actively participate.
In addition, group work is conducted in the latter part of the course on themes related to the integration of medicine and engineering. Through problem identification, information gathering, group discussion, and presentations, students examine issues from multiple perspectives, thereby deepening their understanding and fostering collaborative learning.
[Criteria for Evaluation] Students will be evaluated based on their level of achievement in the abilities specified in the course objectives and learning outcomes, including knowledge and skills, critical thinking, judgment, and communication skills, with particular emphasis on understanding and explaining engineering technologies required in the interdisciplinary field of medical engineering. Final grades are assigned according to the following scale: S (90 points or above), A (80 points or above), B (70 points or above), and C (60 points or above). [Methods of Evaluation] - No final examination will be administered.
- Reports based on the lecture content will be evaluated on a 100-point scale and will account for 60% of the final grade.
- Contributions to group work and the quality of presentations will be evaluated on a 100-point scale and will account for 20% of the final grade.
- Participation in class discussions, including the quality of comments and engagement in discussions, will be evaluated on a 100-point scale and will account for 20% of the final grade.
No final examination will be conducted.
For all submitted reports, individual feedback will be provided via Unipa. In addition, the evaluation criteria and overall trends in assessment will be explained during the class.
- This course is conducted in an omnibus format; therefore, the instructor in charge may vary from session to session. Please be aware of this in advance.
- Preparation and review are essential for a thorough understanding of the course content. Students are expected to engage in appropriate pre-class and post-class study according to the topics covered in each lecture in order to reinforce their learning.
- In cases of absence due to unavoidable reasons such as illness or natural disasters, students are required to submit documentation such as a medical certificate (copies accepted) or a hospital receipt that clearly indicates the student’s name and the date. Submitted documents will be returned after confirmation.
This course does not fall under practical education.
In the event of any discrepancy between the English and Japanese versions, the Japanese version shall prevail.
In cases where any differences arise between the English version and the original Japanese version, the Japanese version shall prevail as the official authoritative version.
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