Information Package / Course Catalogue
| Course Code | : DHF361 |
| Course Type | : Area Elective |
| Couse Group | : First Cycle (Bachelor's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 1 |
| Prt. | : 0 |
| Credit | : 1 |
| Lab | : 0 |
| ECTS | : 2 |
The aim of this course is to introduce dental students to the fundamental concepts of artificial intelligence (AI), explore the applications of AI in dentistry, including diagnosis, treatment planning, dental imaging, clinical decision support systems, education, and research, and enable students to critically evaluate AI technologies from ethical, legal, and professional perspectives.
This course aims to introduce the fundamental concepts of artificial intelligence and its applications in dentistry. Topics include machine learning, deep learning, dental imaging systems, clinical decision support systems, treatment planning, generative artificial intelligence applications, and ethical and legal considerations. Students will evaluate the impact of AI technologies on dental education, research, and clinical practice and gain the ability to use contemporary AI tools effectively and responsibly.
| 1. | Define the fundamental concepts of artificial intelligence, machine learning, and deep learning. |
| 2. | Identify current and emerging applications of AI in dentistry. |
| 3. | Explain the role of AI in dental imaging and diagnostic procedures. |
| 4. | Describe the principles of AI-based clinical decision support systems. |
| 5. | Discuss the use of AI in various dental specialties. |
| 6. | Utilize generative AI tools effectively for academic and professional purposes. |
| 7. | Evaluate ethical, legal, and data privacy issues related to AI applications in dentistry. |
| 8. | Analyze future trends and developments of AI technologies in dental practice and education. |
| 1. | Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Pearson. |
| 2. | Khanagar SB ve ark. Artificial Intelligence in Dental Education and Practice. |
| 3. | Current scientific articles on artificial intelligence applications in dentistry. |
| 4. | Recent publications on AI-assisted dental imaging, diagnosis, and treatment planning. |
| 5. | Schwendicke F. Artificial Intelligence in Dentistry. Khanagar SB ve ark. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Attending Lectures | 1 | %5 |
| Quiz | 1 | %5 |
| Midterm Examination | 1 | %30 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 1 | 1 | 28 |
| Quiz | 1 | 1 | 1 | 2 |
| Midterm Examination | 1 | 4 | 1 | 5 |
| Final Examination | 1 | 10 | 1 | 11 |
| TOTAL WORKLOAD (hours) | 46 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | PÇ-13 | PÇ-14 | PÇ-15 | |
OÇ-1 | 1 | 1 | 3 | 2 | 1 | 1 | 3 | 1 | 2 | ||||||
OÇ-2 | 2 | 2 | 3 | 2 | 2 | 2 | 1 | 1 | 1 | 1 | 1 | 3 | 1 | 2 | |
OÇ-3 | 2 | 3 | 3 | 3 | 3 | 2 | 1 | 1 | 1 | 1 | 3 | 1 | 2 | ||
OÇ-4 | 2 | 3 | 3 | 3 | 3 | 3 | 2 | 1 | 2 | 1 | 3 | 1 | 1 | 2 | |
OÇ-5 | 2 | 3 | 3 | 2 | 2 | 2 | 2 | 1 | 1 | 1 | 1 | 3 | 2 | 3 | |
OÇ-6 | 1 | 1 | 3 | 3 | 1 | 1 | 1 | 1 | 1 | 3 | 2 | 3 | |||
OÇ-7 | 1 | 1 | 2 | 2 | 1 | 2 | 2 | 3 | 2 | 2 | 2 | 3 | |||
OÇ-8 | 1 | 1 | 3 | 3 | 1 | 2 | 1 | 1 | 1 | 3 | 2 | 1 | 3 | ||