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CCAI9006 Artificial Intelligence
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Course Description
Curious about Artificial Intelligence (AI) but not sure where to start? This beginner-friendly course is your perfect entry point—no coding or prior knowledge required!
Explore how AI is changing the world, especially in healthcare and biomedical science. From helping doctors diagnose diseases faster to discovering new medicines and understanding our genes, AI is making a huge impact—and you can be part of it.
You’ll learn the basics of AI, including how computers can “learn” from data, recognize patterns, and even generate new ideas. We’ll cover exciting topics like machine learning, precision medicine/dentistry, chatbots, medical imaging, and more—all explained in a way that’s easy to understand and fun to explore.
Through interactive lectures, real-world case studies, hands-on activities, and guest speakers from the field, you’ll see how AI is used to solve real problems in dentistry, medicine, and science. You’ll also learn about the ethical questions AI raises and how to use it responsibly.
If you are curious about the biomedical future, this course will give you the tools and confidence to start your AI journey.
No experience? No problem. Just bring your curiosity!
Course Learning Outcomes
On completing the course, students will be able to:
- Understand the basic principles and techniques of AI.
- Explore various applications of AI in medicine and dentistry.
- Analyze case studies to evaluate the impact of AI in healthcare.
- Discuss ethical, legal, and social implications of AI in medicine and dentistry.
- Develop practical skills through hands-on AI projects relevant to healthcare.
Offer Semester and Day of Teaching
First semester (Wed)
Study Load
Activities | Number of hours |
Lectures | 20 |
Tutorials | 10 |
Seminars | 6 |
Reading / Self-study | 40 |
Assessment: Essay / Report writing | 20 |
Assessment: Project | 30 |
Assessment: Presentation (incl preparation) | 2 |
Assessment: In-class test | 2 |
Total: | 130 |
Assessment: 100% coursework
Assessment Tasks | Weighting |
Quizzes and short writing assignments | 10 |
In-class discussion and debate | 10 |
Research project | 40 |
Mid-term test | 10 |
Final test | 30 |
Required Reading
Books:
- Bohr, A., & Memarzadeh, K. (2020). Artificial Intelligence in Healthcare.
- Topol, E. (2019). Deep Medicine: How Artificial Intelligence Can Make HeaIthcare Human Again.
Journal Articles:
- Ngiam, K. Y., et al. (2019). Big data and machine learning algorithms for health-care delivery. The Lancet Oncology, 20(5), e262-e273.
- Schwendicke, P., Samek, W., Krois, J. (2020, July). Artificial Intelligence in Dentistry: Chances and Challenges. J Dent Res, 99(7), 769-774. From https://doi.org/10.1177/0022034520915714
Required Viewing
- YouTube Originals. (2019). The Age of AI. From https://www.youtube.com/playlist?list=PLjq6DwYksrzz_fsWIpPcf6V7p2RNAneKc
Course Co-ordinator and Teacher(s)
Course Co-ordinator | Contact |
Professor J.J. Wang Applied Oral Sciences and Community Dental Care of the Faculty of Dentistry |
Tel: 2852 0128 Email: junwen@hku.hk |
Teacher(s) | Contact |
Professor J.J. Wang Applied Oral Sciences and Community Dental Care of the Faculty of Dentistry |
Tel: 2852 0128 Email: junwen@hku.hk |
Professor C. McGrath Applied Oral Sciences and Community Dental Care of the Faculty of Dentistry |
Tel: 2859 0513 Email: mcgrathc@hku.hk |
Professor G. Zhang Applied Oral Sciences and Community Dental Care of the Faculty of Dentistry |
Tel: 2859 0589 Email: gaozhang@hku.hk |
Professor S. Huang Applied Oral Sciences and Community Dental Care of the Faculty of Dentistry |
Tel: 2859 0572 Email: shihuang@hku.hk |