智慧醫療與產業應用
Smart Healthcare and its Applications in Industry
| 節 | 週四 |
|---|---|
7 15:30–16:20 | 智慧醫療與產業應用 YS405 2 節連堂 |
8 16:30–17:20 |
* 根據陽明交大上課時間表所列
智慧醫療是一個正快速發展的領域。本課程旨在引領學生入門,一窺智慧醫療當前的發展,以及人工智能所扮演的角色,並探討其在醫療相關產業的應用。 課程內容 一,介紹智慧醫療的基本要素和概念。 二,介紹醫療物聯網及相關科技與基礎設施。 三,細談智慧醫療相關的人工智能技術。 四,從應用的角度介紹常用的機器學習與深度學習模型。 五,探討智慧醫療在長照,偏遠地區照護,醫院管理扮演的角色以及前景。 六,概論智慧醫療面臨的挑戰,以及未來的展望。 預期成果 Smart healthcare is a fast-growing field. This course aims to (1) introduce basic concepts, frameworks, and technologies of Smart Healthcare; (2) discuss the role that AI plays in Smart Healthcare and its applications in industry. The course will cover the following topics: 1. Introduction to Smart Healthcare: basic elements and concepts 2. Internet of Medical Things and Fundamental Infrastructure 3. AI Technologies related to Smart Healthcare 4. Commonly used Machine Learning and Deep Learning models 5. Smart Healthcare in Remote Healthcare and Hospital Management 6. Smart Healthcare Challenges, Opportunities and the Future
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本課程屬1學分初階課程,透過講課與討論的方式進行。期末報告為分組報告。 This is a 1-credit course, delivered through lectures and in-class discussions. The final assignment is a group assignment.
課堂討論: 40% 期末作業與報告: 60% In-class participation: 40% Final assignment and presentation: 60%
| 週次 | 主題 |
|---|---|
| 第 1 週 | Smart Healthcare: basic elements and concepts |
| 第 2 週 | Internet of Medical Things |
| 第 3 週 | Remote Healthcare and Telemedicine |
| 第 4 週 | Smart Healthcare in radiology and imaging |
| 第 5 週 | Smart Healthcare utilizing medical texts |
| 第 6 週 | AI-empowered administration, prescription, drug safety, and surveillance |
| 第 7 週 | AI-empowered personalized healthcare |
| 第 8 週 | Smart Hospital |
| 第 9 週 | Assignment idea brain storming |
| 第 10 週 | Introduction to Artificial Intelligence |
| 第 11 週 | Introduction to Machine Learning |
| 第 12 週 | Introduction to Deep Learning |
| 第 13 週 | Cloud computing and edge computing for smart healthcare |
| 第 14 週 | Visiting a smart healthcare company |
| 第 15 週 | Governing AI: ethical, legal, and technical challenges |
| 第 16 週 | Final presentation |
| 第 17 週 | Medical AI Startups |
| 第 18 週 | Advanced topics |
1. Andre, Arthur (Ed.) Digital Medicine (2019) 2. Jain, V., & Chatterjee, J. M. (Ed.) Machine Learning with Health Care Perspective (2020) 3. Al-Turjman, F., Nawaz, M. H., & Ulusar, U. D. (2020). Intelligence in the Internet of medical things era: a systematic review of current and future trends. Computer Communications, 150, 644-660.