電機所, 電信所 本課程以英語授課。 生醫電資所 本課程以英語授課。上課地點:共同103未來教室 智慧醫療學程 本課程以英語授課。智慧醫療學程所屬電資學院「數據領域」課程。

Artificial intelligence (AI) can be applied to a wide range of areas. Notably, the fast-growing intelligent medicine area has created tremendous business opportunities recently. It also creates an ideal environment for AI-Biomedical interdisciplinary specialists to make considerable contributions and significantly impact the world. Intelligent medicine aims to utilize state-of-the-art AI technologies for many medical applications such as accurate disease risk prediction and essential predictors selection, which are for early precise and efficient treatments. In this course, we will introduce the vast potential of intelligent medicine and help students advance their skills in this area, and motivate them to become AI-Biomedical interdisciplinary scientists. In addition, in this course, we will introduce potential partners for future interdisciplinary collaboration to our students and provide opportunities for practical implementations through several carefully designed experiments, which shall demonstrate how to leverage real-world medical resources and related AI technologies. Meanwhile, we plan to arrange visits to prestigious companies and institutes and several seminars given by domain experts to further inspire and motivate our students.

1. To polish skills for integration of programming, medical data analysis, and machine learning. 2. To train intelligent medicine specialists through practical implementations and connect them to potential future collaborators. 3. Promote the collaboration between the College of EECS and Medicine.

Required pre-request：Machine Learning Recommended pre-request: Python Programming for Intelligent Medicine (智慧醫療程式設計) or Special Topics in Innovative Integration of Medicine and EECS (醫學電資整合創意專題)

1. “Machine Learning and AI for Healthcare: Big Data for ImprovedHealth Outcomes,” 2nd Edition, by Arjun Panesar. 2. “Artificial Intelligence in Healthcare: AI, Machine Learning, and Deepand Intelligent Medicine Simplified for Everyone,” by Dr. Parag SureshMahajan MD. 3. “Artificial Intelligence in Healthcare,” edited by Adam Bohr andKaveh Memarzadeh.