課程目標及內涵：智慧醫療入門
一、課程目標（Course Objectives）
了解人工智能在醫療領域的應用潛力：培養學生對人工智能在醫療應用的基本認識，並具備批判性思考能力，以因應未來醫療產業可能發生的變革。
掌握專業知識評估智慧醫療產業的方法：學習如何將理學院的核心專業知識，如應用物理、化學、生命科學及應用數學等，有效導入並評估智慧醫療產業的發展。
二、課程內涵（課程內容）
第一部分：人工智慧在醫療領域的應用潛力（第一部分：人工智慧在醫療領域的應用潛力）
發展趨勢（發展趨勢）：探討醫療領域的核心智慧的最新發展方向與未來展望。
應用案例（Application Cases）：分析AI在疾病診斷、藥物研發、健康管理、手術輔助等方面的實際應用案例。
倫理（Ethical Issues）：研究人工智慧醫療應用所涉及的資料隱私、算法偏見、責任歸屬等倫理考量與相關規範。
第二部分：將理學院專業領域知識導入智慧醫療產業（第二部分：將理學院專業知識引入智慧醫療產業）
應用物理（AppliedPhysics）：探索醫學影像技術（如MRI、CT）、放射治療、生物感測器等物理原理在智慧醫療的應用。
應用化學（Applied Chemistry）：研究藥物設計與合成、生物材料、體外診斷試劑開發等化學知識在智慧醫療的整合。
生命科學（生命科學）：連結基因體學、蛋白質體學、細胞治療等生命科學基礎，探討其在精準醫療與智慧健康方案中的角色。
應用數學（Applied Mathematics）：介紹資料分析、模型綜述、生物統計、演算開發等數學方法在醫療大數據處理與AI模型訓練的應用。
Course objectives and connotations: Smart medical entry
1. Course Objectives
Understand the potential of AI in the medical field: Cultivate students' basic understanding of AI in medical applications and have critical thinking skills to respond to possible changes in medical industries in the future.
Master professional knowledge and evaluate the development of smart medical industry: learn how to effectively introduce and evaluate the development of smart medical industry into the core professional knowledge of science colleges, such as application physics, chemistry, life sciences and application mathematics.
2. Connotation of course (course content)
Part 1: The application potential of artificial intelligence in the medical field (Part 1: The application potential of artificial intelligence in the medical field)
Development trends (development trends): Explore the latest development directions and future prospects of the core wisdom in the medical field.
Application Cases: Analyze the actual application cases of AI in disease diagnosis, drug development, health management, surgical assistance, etc.
Ethical Issues: Research on the ethical considerations and related regulations involved in artificial intelligence medical applications such as data privacy, algorithm bias, and responsibility.
Part 2: Introducing professional knowledge from the science college into smart medical industry (Part 2: Introducing professional knowledge from the science college into smart medical industry)
AppliedPhysics: Explore the application of physical principles such as medical imaging technology (such as MRI, CT), radiation therapy, biosensors, etc. in smart medicine.
Applied Chemistry: Research the integration of chemical knowledge such as drug design and synthesis, biomaterials, and ectopic diagnostic tests in smart medicine.
Life Science (Life Science): Connect the basics of life sciences such as genes, proteins, and cell therapy, and explore their role in precise medical and smart health programs.
Applied Mathematics: introduces the application of mathematical methods such as data analysis, model summary, biological statistics, and calculation development in medical large data processing and AI model training.
https://www.foxconnfoundation.org/plan/aicourse
HTTPS://Wuwuwuwu.fox con-reme foundation.org/dashed/love course
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 第一位老師的分數第一位老師的分數 The score of the first teacher |
25 | |
| 第二位老師的分數第二位老師的分數 The score of the second teacher |
25 | |
| 第三位老師的分數第三位老師的分數 The score of the third teacher |
25 | |
| 第四位老師的分數第四位老師的分數 The fourth teacher's score |
25 |
