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Information
| Unit | ABDİ SÜTCÜ HEALTH SERVICES VOCATIONAL SCHOOL |
| Code | SHS239 |
| Name | Artificial Intelligence and Ethics in Medicine |
| Term | 2026-2027 Academic Year |
| Semester | 3. Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Label | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Öğr. Gör. Dr. GÜLAY HALİDİ |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The objective of the course is to define the discipline of artificial intelligence along with its methods and dimensions, to specify its place and position within medical applications, and to expound upon the ethical dimension of the use of artificial intelligence in medicine.
Course Content
The course content consists of the definition of the concept and discipline of artificial intelligence, its position in human life, other concepts associated with artificial intelligence, artificial intelligence methods and products in medicine, the fields of application for artificial intelligence in medicine, the ethical dimension of medical artificial intelligence, and potential ethical issues.
Course Precondition
There are no prerequisites for the course.
Resources
Halidi G. Tıpta Yapay Zeka Kullanımının Etik Boyutu. Danışman Kavas MV. Doktora Tıp Etiği Semineri, Ankara Üniversitesi Sağlık Bilimler Enstitüsü, Ankara, 2019.
Notes
Halidi G. Artificial Intelligence and Ethics in Medicine Lecture Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Defines the concept and discipline of artificial intelligence. |
| LO02 | Distinguishes between artificial intelligence and its associated concepts. |
| LO03 | Enumerates the characteristics and dimensions of artificial intelligence. |
| LO04 | Explains the position of artificial intelligence in human life. |
| LO05 | Summarizes medical AI methods and their role in medicine. |
| LO06 | Lists the application areas of artificial intelligence in medicine. |
| LO07 | Analyzes the ethical dimension of medical artificial intelligence. |
| LO08 | Identifies potential ethical issues regarding the use of medical artificial intelligence. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Distinguish the anatomical and physiological structure of people and explain the relationship between organ systems and anesthesia applications. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Define basic hemodynamic parameters in the body during anesthesia application and fluid replacement, blood and blood products transfusion. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Recognizes the principles of cardiopulmonary resuscitation, intensive care and most common diseases in reanimation. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Explains basic information about disinfection, sterilization and hygiene. | |
| PLO05 | Bilgi - Kuramsal, Olgusal | List the steps related to the operating mechanism and care of the anesthesia device. | |
| PLO06 | Bilgi - Kuramsal, Olgusal | Explain monitoring methods. | |
| PLO07 | Bilgi - Kuramsal, Olgusal | Recognize the monitoring parameters of a patient during and after anesthesia and explain the complications. | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Plans drugs and materials to be used before, during and after anesthesia in accordance with clinical protocols. | |
| PLO09 | Bilgi - Kuramsal, Olgusal | Lists the steps of anesthesia method to be applied. | |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Implements the rules of sterilization, disinfection and hygiene. | |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Prepares the patients as desired in the anesthesia outpatient clinic. | |
| PLO12 | Beceriler - Bilişsel, Uygulamalı | Applies basic monitoring methods, prepares advanced monitoring equipments. | |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Anesthesia method to be applied according to the steps, as requested by the physician and the patient prepares and implements. | |
| PLO14 | Beceriler - Bilişsel, Uygulamalı | It performs the calibration and maintenance of the anesthesia devices regularly and ensures that they work in the most efficient way. | |
| PLO15 | Bilgi - Kuramsal, Olgusal | During general and regional anesthesia application and follow-up of the patient alone, the anesthesia depth and vital parameters are continuously monitored | |
| PLO16 | Beceriler - Bilişsel, Uygulamalı | Complications of anesthetic drugs and quickly informs the physician. | |
| PLO17 | Yetkinlikler - Öğrenme Yetkinliği | After graduation, the student will have the ability to critically evaluate the information he has learned with his knowledge. | 2 |
| PLO18 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | To be able to communicate effectively with patients and health workers with professional and ethical responsibility. | 3 |
| PLO19 | Yetkinlikler - Öğrenme Yetkinliği | Use at least one foreign language to follow developments in the field. | |
| PLO20 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Takes measures related to health and safety in the work environment and makes the first intervention. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Course Introduction and Explanation of the Course Flow | Reading of Lecture Notes and Resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | The Concept and Discipline of Artificial Intelligence, Concepts Associated with Artificial Intelligence | Reading of Lecture Notes and Resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 3 | Attributes and Dimensions of Artificial Intelligence, Its Position in Human Life | Reading of Lecture Notes and Resources | Öğretim Yöntemleri: Beyin Fırtınası, Anlatım, Tartışma |
| 4 | The Relationship Between Artificial Intelligence and Medicine, Medical Artificial Intelligence and Its Role | Reading of Lecture Notes and Resources | Öğretim Yöntemleri: Soru-Cevap, Anlatım, Tartışma |
| 5 | Medical Artificial Intelligence Methods and Its Role in Medicine I | Reading of Lecture Notes and Resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 6 | Medical Artificial Intelligence Methods and Its Role in Medicine II | Reading of Lecture Notes and Resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 7 | Areas of Use for Artificial Intelligence in Medicine I | Reading of Lecture Notes and Resources | Öğretim Yöntemleri: Beyin Fırtınası, Anlatım, Tartışma |
| 8 | Mid-Term Exam | Reading of Lecture Notes and Resources | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Areas of Use for Artificial Intelligence in Medicine II | Reading of Lecture Notes and Resources | Öğretim Yöntemleri: Beyin Fırtınası, Anlatım, Tartışma |
| 10 | Medical Artificial Intelligence and Ethics | Reading of Lecture Notes and Resources | Öğretim Yöntemleri: Soru-Cevap, Anlatım |
| 11 | The Ethical Dimension of Medical Artificial Intelligence I | Reading of Lecture Notes and Resources | Öğretim Yöntemleri: Beyin Fırtınası, Tartışma |
| 12 | The Ethical Dimension of Medical Artificial Intelligence II | Reading of Lecture Notes and Resources | Öğretim Yöntemleri: Anlatım, Tartışma |
| 13 | The Ethical Dimension of Medical Artificial Intelligence IIII | Reading of Lecture Notes and Resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 14 | Potential Ethical Issues in the Use of Medical Artificial Intelligence I | Reading of Lecture Notes and Resources | Öğretim Yöntemleri: Beyin Fırtınası, Tartışma, Anlatım |
| 15 | Potential Ethical Issues in the Use of Medical Artificial Intelligence II | Reading of Lecture Notes and Resources | Öğretim Yöntemleri: Beyin Fırtınası, Tartışma, Anlatım |
| 16 | Term Exams | Reading of Lecture Notes and Resources | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Reading of Lecture Notes and Resources | Ölçme Yöntemleri: Yazılı Sınav |
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) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 4 | 4 |
| Final Exam | 1 | 5 | 5 |
| Total Workload (Hour) | 79 | ||
| Total Workload / 25 (h) | 3,16 | ||
| ECTS | 3 ECTS | ||