Information Package / Course Catalogue
Artificial Intelligence in Health
Course Code: İAY016
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 3
Objectives of the Course

The aim of this course is to provide knowledge and skills regarding the use of artificial intelligence technologies in health applications.

Course Content

Definition and history of artificial intelligence technology, artificial intelligence techniques, types of artificial intelligence, areas of use of artificial intelligence, examples of artificial intelligence in health services-I, examples of artificial intelligence in health services, examples of artificial intelligence in health, artificial intelligence and robots, responsibilities, artificial intelligence and ethics in nursing, possible problems and benefits of artificial intelligence, government policies and regulations in artificial intelligence, the future of artificial intelligence.

Name of Lecturer(s)
Lec. Nesrin OĞURLU
Learning Outcomes
1.Defines artificial intelligence technology
2.Examines the basic concepts of artificial intelligence.
3.Comprehends artificial intelligence techniques.
4.Comprehends artificial intelligence types.
5.Examines the use of artificial intelligence in health.
Recommended or Required Reading
1.Bacaksız, F. E., Yılmaz, M., Ezizi, K., & Alan, H. (2020). Managing Robots in Health Care. Journal of Health and Nursing Management, 3(7), 458-465. 2 2. Aydın, Ş. E. (2017). Artificial intelligence technology. Çukurova University Business and Technology Management Master's Program Term Project, Adana. 3 3. Demirhan, A., Kılıç, Y. A., & İnan, G. (2010). Artificial Intelligence Applications in Medicine. Journal of Intensive Care, 9(1), 31-41. 4 4. Broadbent, E., Tamagawa, R., Patience, A., Knock, B., Kerse, N., Day, K., et al. (2012). Attitudes towards health-care robots in a retirement village. Australasian Journal on Ageing, 31(2), 115-120. 5 5. Baloğlu, K. A., Kaplancalı, U. T., & Kılıç, S. (2019). Social robot research and analysis for elderly people in need of care. European Journal of Science and Technology, Special issue, 1-8. 6 6. Ersoy, N. A. (2019). Artificial intelligence and nursing. 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, pp.211-
2.Sendir, M., Basak, T., & Dogan, P. (Eds.). (2023). Clinical simulation for health professionals. Ankara Nobel Medical Bookstores. ISBN: 978-625-7564-74-8.
3.Karaçay P. Best Practice Standards of Simulation. Koç University Journal of Nursing Education and Research 2019;16 (3): 262-267.
4.INACSL Standards Committee. INACSL standards of best practice: SimulationSM facilitation. Clin Simul Nurs.2016;12(S):S16-S20. doi: 10.1016/j.ecns.2016.09.007
Weekly Detailed Course Contents
Week 1 - Theoretical
Definition and history of artificial intelligence
Week 2 - Theoretical
Areas of use of artificial intelligence
Week 3 - Theoretical
Artificial intelligence techniques and classifications-I
Week 4 - Theoretical
Artificial intelligence techniques and classifications-II
Week 5 - Theoretical
Robotic technologies
Week 6 - Theoretical
Artificial intelligence in healthcare-I
Week 7 - Theoretical
Artificial intelligence in healthcare-II
Week 8 - Theoretical
Artificial intelligence in healthcare-III
Week 9 - Theoretical
artificial intelligence and ethics
Week 10 - Theoretical
artificial intelligence and ethics
Week 11 - Theoretical
artificial intelligence and security
Week 12 - Theoretical
artificial intelligence and security
Week 13 - Theoretical
Government policies and regulations in artificial intelligence
Week 14 - Theoretical
Future of artificial intelligence
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory201428
Assignment1088
Laboratory101414
Midterm Examination101010
Final Examination101515
TOTAL WORKLOAD (hours)75
Contribution of Learning Outcomes to Programme Outcomes
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
PÇ-16
PÇ-17
PÇ-18
OÇ-1
5
OÇ-2
5
OÇ-3
5
OÇ-4
5
OÇ-5
5
Adnan Menderes University - Information Package / Course Catalogue
2026