Course

Doctoral Program, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University

・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

The total number of credits required to complete the course is 30 credits as above.

(Required Subjects 22 credits, Required Elective Subjects 8 credits)

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

College students, social workers (University graduates or those with equivalent knowledge in the healthcare field)

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)

The total number of credits required to complete the course is 4 credits.

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.