Course
Course List
Doctoral Course
Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
(Medical Data Science innovator Training Program)
Clinical Artificial Intelligence (AI) Course
Image of human resources to be developed
Human resources who have advanced clinical knowledge in the healthcare field, who have the ability to accurately search for and concretize issues in the field, who can conduct appropriate AI R&D design for the issues, and who can carry out social implementation of AI technology through in-depth discussions and coordination with AI engineers.
Target
Doctoral Program, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
Subject
・Required Subjects （22 credits）
Introduction of Basic Medical Sciences (2 credits)
Introduction of Clinical Medical Sciences (2 credits)
Medical AI Introduction (2 credits)
Medical Practicals (8 credits)
Medical Research Projects (4 credits)
Research for Doctral Degree (4 credits)
In addition, select 8 credits from required elective subjects
Credit
The total number of credits required to complete the course is 30 credits as above.
(Required Subjects 22 credits, Required Elective Subjects 8 credits)
Overview
The purpose of this course is to develop human resources who can implement AI technology in society as a solution to problems in healthcare. Students will hone their ability to identify and solve local problems from a global perspective by learning in a step-by-step and systematic manner, from basic subjects that emphasize theoretical education in AI and data science, to applied subjects based on specialized knowledge in the healthcare field, and to practical subjects in collaboration with private companies. In addition, the mutual exchange training system with other academia and inviting lecturers from companies motivates students to have a high awareness of social implementation as a way out of research.
Please refer to the application guidelines on the website of the Doctoral Program of Okayama University Graduate School of Biomedical Sciences.
https://www.mdps.okayama-u.ac.jp
Intensive Course
Medical AI Course〔Intensive Course〕
Image of human resources to be developed
Human resources who have clinical knowledge in the field of healthcare, who have the ability to accurately search for and concretize issues in the field, and who can propose solutions to issues through appropriate AI research and development design.
Target
College students, social workers (University graduates or those with equivalent knowledge in the healthcare field)
Subject
Medical AI Introduction (2 credits)
Medical AI Advanced SubjectⅠ (2 credits)
Medical AI Advanced SubjectⅡ (2 credits)
Medical AI Seminar (2 credits)
Introduction to Python & Machine Learning (1 credit)
Medical AI Specialization Course (1 credit)
Credit
The total number of credits required to complete the course is 4 credits.
Overview
This course is designed to foster human resources who can appropriately identify issues in the healthcare field and implement AI technology as a solution to those issues in society. This course is also designed to provide recurrent education for working people who are already engaged in business, and is a short, intensive course that covers everything from AI theory to its application in medicine.
For more details, please refer to the course guide file below and apply using the application form on the Open Lecture website.
Acceptance of Educational Programs and Courses Target Number of Students and Successful Candidates
2022
| Doctoral Course | Tohoku University | Hokkaido University | Okayama University | |
|---|---|---|---|---|
| number of people | 7 | 17 | 16 | |
| KPI | 5 | 4 | 3 | |
| Intensive Course | number of people | 223 | 100 | 210 |
| KPI | 7 | 6 | 6 |
2021
| Doctoral Course | Tohoku University | Hokkaido University | Okayama University | |
|---|---|---|---|---|
| number of people | 9 | 8 | 7 | |
| KPI | 5 | 2 | 3 | |
| Intensive Course | number of people | 55 | 33 | 54 |
| KPI | 4 | 6 | 6 |
as of April, 2023