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Information
| Code | DEN469 |
| Name | Artificial Intelligence in Dentistry |
| Term | 2024-2025 Academic Year |
| Semester | 7. Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Öğr. Gör.Dr. ERKAN TİYEKLİ |
| Course Instructor |
Öğr. Gör.Dr. ERKAN TİYEKLİ
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Acquiring Knowledge and Skills Related to the Use of Artificial Intelligence (AI) Technologies in Dentistry Applications.
Course Content
Introduction: Artificial Intelligence and Dentistry Basic Artificial Intelligence Techniques and Algorithms Artificial Intelligence Applications in Dentistry Deep Learning and Artificial Neural Networks Artificial Intelligence in Dentistry and Treatment Planning Artificial Intelligence-Supported Dental Devices Ethical and Legal Issues: Use of Artificial Intelligence in Dentistry Current Research and Applications
Course Precondition
Fundamental Dentistry Knowledge: Understanding of dental practice and basic concepts. Information Technology and Artificial Intelligence Fundamentals: Basic knowledge of computer science, data analysis, programming, and artificial intelligence topics. Medical Information Systems and Digital Technologies: Knowledge about medical information systems, digital dentistry technologies, and digital applications in dentistry. Advanced Artificial Intelligence and Applications: Basic understanding of advanced artificial intelligence topics such as artificial intelligence algorithms, machine learning, deep learning, and artificial neural networks. Current Developments in Dentistry: Awareness of current technological and scientific developments in dental practice.
Resources
Artificial Intelligence in Dentistry: Tools and Techniques, Introduction to Artificial Intelligence" by Wolfgang Ertel, Machine Learning Yearning" by Andrew Ng, Operations Research APPLICATIONS AND ALGORITHMS FOURTH EDITION Wayne L. Winston
Notes
Matlab, Mikrosoft Excel program
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explain how artificial intelligence technologies can be used in dental applications. |
| LO02 | Define basic artificial intelligence techniques and algorithms, and evaluate their applications in dentistry. |
| LO03 | Describe advanced artificial intelligence topics such as deep learning and artificial neural networks, and discuss how they can be integrated into dental applications. |
| LO04 | Analyze the use of artificial intelligence-supported dental devices and assess their advantages and disadvantages. |
| LO05 | Examine the ethical and legal aspects of artificial intelligence use in dentistry, discussing the safe and ethical use of these technologies. |
| LO06 | Follow current research and applications, and anticipate the future role of artificial intelligence technologies in dentistry. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Obtain the basic and contemporary knowledge of clinical and health sciences required by the profession as a dentist. | 1 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Explains the normal structure, function, development and interaction of oral components and related formations in all stages of human life. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Has the knowledge of preventive dentistry methods and ethical principles in maintaining the oral health, and preventing system-related disorders and diseases. | |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Explains the relationship of common oral and dental disorders/diseases with systemic diseases; determines contemporary and reliable diagnostic methods, makes differential diagnosis, and treat the patients with appropriate treatment option by respecting the patient's privacy, secrets, honor, beliefs, cultural differences, and sexual preference. | 2 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Comprehends, analyzes and evaluates of the health and disease components, processes and prognosis. Uses evidence-based methods with acquired physicomotor skills in updating dental knowledge and in patient treatment . Adopts the principle of making decisions in line with ethical principles by evaluating the patient's preference, own experience and the most valid evidence. | 3 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | By approaching the patient holistically, performs interdisciplinary team work with dental professions, keeps the limits of own knowledge and skills, requests to other healthcare professionals when necessary and cooperates with experts in the field of dentistry. | 3 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Provides first aid-basic life support in cases requiring medical emergency situations in dentistry; performs the necessary intervention in emergency dental situations and plans the next process. | 4 |
| PLO08 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Provides oral and dental health education for the individual, family and society members, carries out studies related to the field individually or as a team member; provides consultancy, supervision, expertise and leadership. | |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Plans and manages activities for the development and training of employees under its responsibility, and monitors and evaluates the process. | 4 |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Recognizes the ways to access knowledge and evaluates using critical thinking skills; determines the learning needs and resources related to medicine and uses them effectively. | 1 |
| PLO11 | Yetkinlikler - Öğrenme Yetkinliği | Develops positive attitudes and behaviors towards lifelong learning, adopts the universal conditions required by the medical profession. | 3 |
| PLO12 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Communicates effectively with patients and their relatives, colleagues and other segments of society. | 4 |
| PLO13 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Informs relevant persons and institutions on professional issues; transfers thoughts and solutions to problems with quantitative-qualitative data, in written or verbally, and shares them with experts/non-experts. | 3 |
| PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Organizes and implements projects/events for the social environment with a sense of social responsibility. | |
| PLO15 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses medical information and communication technologies along with computer software at the level required by the field. | 5 |
| PLO16 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Follows professional knowledge and developments, communicates with colleagues by using a foreign language at the level required by the field. | 4 |
| PLO17 | Yetkinlikler - Alana Özgü Yetkinlik | Documents accurate and reliable records, collects data, analyzes clinical and laboratory data, interprets and acts in accordance with ethical principles in sharing the results. | 5 |
| PLO18 | Yetkinlikler - Alana Özgü Yetkinlik | Knows the basic health legislation, acts in accordance with the laws, regulations, legislation and ethical rules regarding their rights and responsibilities as an individual. | 4 |
| PLO19 | Yetkinlikler - Alana Özgü Yetkinlik | Being sensitive and takes responsibility to its own mental and physical health, employees' health, environment and occupational safety and individual and public health, , develops a professional attitude and becomes a role model for the society with its behaviors. | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Concept and history of artificial intelligence | Examining sources | Öğretim Yöntemleri: Anlatım, Tartışma, Soru-Cevap |
| 2 | Artificial intelligence techniques and algorithms | Presentation, material preparation | Öğretim Yöntemleri: Anlatım, Tartışma, Alıştırma ve Uygulama, Gösterip Yaptırma, Soru-Cevap |
| 3 | Examples of artificial intelligence use in dentistry 1 | Presentation, material preparation | Öğretim Yöntemleri: Anlatım, Tartışma, Alıştırma ve Uygulama, Gösterip Yaptırma, Gösteri |
| 4 | Examples of artificial intelligence use in dentistry 2 | Examining sources, Presentation, material preparation | Öğretim Yöntemleri: Tartışma, Alıştırma ve Uygulama, Gösteri, Gösterip Yaptırma |
| 5 | Introduction to deep learning and artificial neural networks | Examining sources, Presentation, material preparation, software installation | Öğretim Yöntemleri: Anlatım, Gösteri |
| 6 | Applications of deep learning in dentistry | Examining sources | Öğretim Yöntemleri: Anlatım, Gösteri, Gösterip Yaptırma |
| 7 | Introduction to artificial intelligence-supported dental devices, Use of artificial intelligence-supported devices in dentistry | Examining sources, Presentation, software installation | Öğretim Yöntemleri: Tartışma, Anlatım, Alıştırma ve Uygulama, Gösteri, Gösterip Yaptırma |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav, Ödev |
|
| 9 | Ethical and legal aspects of artificial intelligence use | Examining sources, Presentation | Öğretim Yöntemleri: Tartışma, Anlatım |
| 10 | Security and ethical issues of artificial intelligence use in dentistry | Examining sources, Presentation | Öğretim Yöntemleri: Anlatım, Tartışma |
| 11 | Current research on artificial intelligence use in dentistry | Examining sources, Presentation | Öğretim Yöntemleri: Anlatım, Tartışma |
| 12 | Case studies and future trends | Examining sources, Presentation | Öğretim Yöntemleri: Anlatım, Gösteri |
| 13 | Project presentations and evaluation 1 | Examining sources | Öğretim Yöntemleri: Gösterip Yaptırma |
| 14 | Project presentations and evaluation 2 | Examining sources | Öğretim Yöntemleri: Gösterip Yaptırma |
| 15 | Project presentations and evaluation 3 | Examining sources | Öğretim Yöntemleri: Gösterip Yaptırma |
| 16 | Term Exams | Ölçme Yöntemleri: Ödev, Yazılı Sınav |
|
| 17 | Term Exams 2 | Ölçme Yöntemleri: Yazılı Sınav, Ödev |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 2 | 28 |
| Out of Class Study (Preliminary Work, Practice) | 4 | 5 | 20 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 3 | 5 | 15 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 1 | 1 |
| Final Exam | 1 | 1 | 1 |
| Total Workload (Hour) | 65 | ||
| Total Workload / 25 (h) | 2,60 | ||
| ECTS | 3 ECTS | ||