SHS239 Artificial Intelligence and Ethics in Medicine

3 ECTS - 2-0 Duration (T+A)- 3. Semester- 2 National Credit

Information

Unit ABDİ SÜTCÜ HEALTH SERVICES VOCATIONAL SCHOOL
First and Emergency Aid
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 Having information about structurel and functional human body, proper for medical terminology
PLO02 Bilgi - Kuramsal, Olgusal Having information about scene, sick/ victim and personal safety measure and sick/ victim transport equipments and proper transport technics.
PLO03 Bilgi - Kuramsal, Olgusal Having information about medicine within their competence of mission, authority and responsibility and medicine administration technics
PLO04 Bilgi - Kuramsal, Olgusal Having information about indications of oxygen theraphy and equipments
PLO05 Bilgi - Kuramsal, Olgusal Can insert endotrakeal intubation when indicated
PLO06 Bilgi - Kuramsal, Olgusal Can perform bleeding control with proper equipment
PLO07 Bilgi - Kuramsal, Olgusal Can perform advanced life support steps when indicated
PLO08 Bilgi - Kuramsal, Olgusal Can drive ambulance and care it.
PLO09 Bilgi - Kuramsal, Olgusal To prevent from occupational accidents, can perform proper body mechanic technics
PLO10 Bilgi - Kuramsal, Olgusal Can explain the sick/ victims condition by physical examination and other diagnositc methods
PLO11 Bilgi - Kuramsal, Olgusal Can use automated and manual externally defibrillator
PLO12 Beceriler - Bilişsel, Uygulamalı Can use proper equipments when immobilization of sick/ victim is needed
PLO13 Beceriler - Bilişsel, Uygulamalı Can run triage and triage technics in multiple injuries or disasters
PLO14 Beceriler - Bilişsel, Uygulamalı Can perform basic life support steps and methods
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Can take responsibility as individually and as a member of team about solving problems of sick/ victims
PLO16 Beceriler - Bilişsel, Uygulamalı Can analyse datas by critical approach when reached to domain spesific knowledge taken into consideration 2
PLO17 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Can communicate to command control center, other foundations and sick/ sicks´´ relatives by using proper technics and methods 2
PLO18 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Can cooperate with team members and other foundations
PLO19 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Can use information and communication technology and at least one foreign language as needed for communication and data transfer 5
PLO20 Yetkinlikler - Öğrenme Yetkinliği Can monitor results of changing environment and technologic advancement and analise these conditions´´ domain spesific dynamics 5


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

Update Time: 05.05.2026 04:21