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
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 Examines the basis and kinesiology of normal human structure and function
PLO02 Bilgi - Kuramsal, Olgusal Explains the basic concepts and principles used in the field of medical terminology and physiotherapy
PLO03 Bilgi - Kuramsal, Olgusal Lists the basic physics and biophysics concepts required for physiotherapy applications.
PLO04 Bilgi - Kuramsal, Olgusal Recognizes the devices, tools and equipment used in the field of physiotherapy and explains their basic working principles.
PLO05 Bilgi - Kuramsal, Olgusal Lists patient protection methods and treatment methods related to field.
PLO06 Beceriler - Bilişsel, Uygulamalı Prepares the patient, orthoses and assistive devices before physiotherapy application
PLO07 Bilgi - Kuramsal, Olgusal Lists basic assessment methods used in physical therapist assisstant applications
PLO08 Bilgi - Kuramsal, Olgusal Use appropriate methods and techniques for the development of critical thinking, creative thinking and problem solving skills
PLO09 Bilgi - Kuramsal, Olgusal Distinguishes reading and evaluating the treatment plan given by the physical medicine and rehabilitation specialist before the patient is admitted to physiotherapy.
PLO10 Beceriler - Bilişsel, Uygulamalı Applies the treatment program recommended by the physical medicine and rehabilitation specialist physician to the patients under the supervision of the physical medicine and rehabilitation specialist physician or physiotherapist.
PLO11 Beceriler - Bilişsel, Uygulamalı Assists in the implementation of basic exercises used in physiotherapy under the supervision of a physical medicine and rehabilitation specialist physician
PLO12 Beceriler - Bilişsel, Uygulamalı Applies hot-cold applications and electrotherapy modalities used in physiotherapy under the supervision of a physical medicine and rehabilitation physician or physiotherapist.
PLO13 Yetkinlikler - Alana Özgü Yetkinlik Prepares treatment devices before physiotherapy program
PLO14 Yetkinlikler - Alana Özgü Yetkinlik Perform the calibration and maintenance of the devices regularly
PLO15 Bilgi - Kuramsal, Olgusal Becomes informed about critical situations and, when necessary, reports the results to the relevant physical medicine and rehabilitation physician as soon as possible
PLO16 Yetkinlikler - Öğrenme Yetkinliği After graduation, he/she will have the ability to critically evaluate the information he/she has learned with his/her own knowledge
PLO17 Yetkinlikler - İletişim ve Sosyal Yetkinlik Communicates effectively with patients and health care workers with professional ethical responsibility
PLO18 Yetkinlikler - Öğrenme Yetkinliği To be able to use basic computer program and information technologies to follow developments in at least one foreign language
PLO19 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Takes precautions regarding health and safety in the work environment and provides first aid in case of injuries. 3
PLO20 Yetkinlikler - Öğrenme Yetkinliği Monitors professional technological developments 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 04:20