It is to introduce physiotherapy students to the basic concepts and applications of artificial intelligence (AI) in the health sector, especially to focus on their role in developing physiotherapy applications. Students will learn about the various AI tools and technologies that revolutionize patient care, diagnosis, treatment planning, and personalized medicine. The course will also examine ethical considerations, data management, and future effects of AI on physiotherapy.
Course Content
This course contains; Definition of Artificial Intelligence and its Applications in Healthcare,Artificial Intelligence and Data Analytics: Applications in Healthcare,Machine Learning: Basics and Healthcare Applications,Deep Learning Algorithms and Medical Imaging,Processing Electronic Health Records,Patient Data Security and Privacy,Diagnosis and Treatment Planning with AI,Robotic Systems: Applications in Physiotherapy,Natural Language Processing (NLP) in Healthcare,Ethical Dimensions of Artificial Intelligence,Predictive and Prognostic Models with AI in Healthcare,AI-Powered Patient Monitoring and Management Systems,Artificial Intelligence in Healthcare: Future Trends and Developments,Artificial Intelligence in Healthcare: Future Trends and Developments.
Course Learning Outcomes
Teaching Methods
Assessment Methods
Teaching Methods:
Assessment Methods:
Course Outline
Order
Subjects
Preliminary Work
1
Definition of Artificial Intelligence and its Applications in Healthcare
1. Source - 1. Chapter
2
Artificial Intelligence and Data Analytics: Applications in Healthcare
1. Source Page 1-23
3
Machine Learning: Basics and Healthcare Applications
1. Source page 23-35
4
Deep Learning Algorithms and Medical Imaging
1. Resource Page 109-123
5
Processing Electronic Health Records
1. Source Page 73-91
6
Patient Data Security and Privacy
1. Source Page 91-109
7
Diagnosis and Treatment Planning with AI
1. Source Page 1-23
8
Robotic Systems: Applications in Physiotherapy
1. Source Page 1-23
9
Natural Language Processing (NLP) in Healthcare
1. Source Page 1-23
10
Ethical Dimensions of Artificial Intelligence
1. Source Page 1-23
11
Predictive and Prognostic Models with AI in Healthcare
1. Source Page 190-195
12
AI-Powered Patient Monitoring and Management Systems
1. Source Page 190-195
13
Artificial Intelligence in Healthcare: Future Trends and Developments
Literature Research
14
Artificial Intelligence in Healthcare: Future Trends and Developments
Literature Research
Resources
Kumar, A., Ahirwal, M. K., & Londhe, N. D. (2022). Sağlık Bakımı için Yapay Zeka Uygulamaları. CRC Press.
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
PQ-1. Equipped with adequate, trustworthy and up-to-date knowledge of Physiotherapy and Rehabilitation.
X
2
PQ-2. It uses the evaluation methods for healthy, disabled and individuals who require physiotherapy and plans and implements the physiotherapy program.
X
3
PQ-4. Practices using knowledge and skills based on the evidence specific to the field of physiotherapy and rehabilitation.
X
4
PQ-4. For function and independence in the daily life activities of individuals who require physiotherapy and rehabilitation, physiotherapy applications can be carried out using appropriate technology, training and treatment equipment.
X
4
PQ-4. For function and independence in the daily life activities of individuals who require physiotherapy and rehabilitation, physiotherapy applications can be carried out using appropriate technology, training and treatment equipment.
X
5
PQ-5. Has the ability to work independently and effectively between disciplinary and interdisciplinary in his professional practices.
X
6
PQ-6. Social responsibility plays a role in consciousness, research, projects and events.
X
7
PQ-7. Adopt life-time adaptation to new conditions, learning, developing new ideas, attaching importance to quality, and use information sources effectively.
X
8
PQ-8. The developments in physiotherapy and rehabilitation are followed by at least one foreign language.
X
9
PQ-9. Has the ability to communicate verbally and in writing in Turkish.
X
10
PQ-10. Act in accordance with the legislation and professional codes of conduct in cooperation with the relevant disciplines, considering the rights and responsibilities of the task in physiotherapy and rehabilitation applications.
X
Assessment Methods
Contribution Level
Absolute Evaluation
Rate of Midterm Exam to Success
40
Rate of Final Exam to Success
60
Total
100
ECTS / Workload Table
Activities
Number of
Duration(Hour)
Total Workload(Hour)
Course Hours
14
2
28
Guided Problem Solving
14
2
28
Resolution of Homework Problems and Submission as a Report
0
0
0
Term Project
0
0
0
Presentation of Project / Seminar
0
0
0
Quiz
0
0
0
Midterm Exam
1
5
5
General Exam
1
10
10
Performance Task, Maintenance Plan
0
0
0
Total Workload(Hour)
71
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(71/30)
2
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.
Detail Informations of the Course
Course Description
Course
Code
Semester
T+P (Hour)
Credit
ECTS
ARTIFICIAL INTELLIGENCE in HEALTH
FTR2215717
Spring Semester
2+0
2
2
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of Course
Turkish
Course Level
First Cycle (Bachelor's Degree)
Course Type
Elective
Course Coordinator
Lect. Doğukan KURÇ
Name of Lecturer(s)
Lect. Doğukan KURÇ
Assistant(s)
Aim
It is to introduce physiotherapy students to the basic concepts and applications of artificial intelligence (AI) in the health sector, especially to focus on their role in developing physiotherapy applications. Students will learn about the various AI tools and technologies that revolutionize patient care, diagnosis, treatment planning, and personalized medicine. The course will also examine ethical considerations, data management, and future effects of AI on physiotherapy.
Course Content
This course contains; Definition of Artificial Intelligence and its Applications in Healthcare,Artificial Intelligence and Data Analytics: Applications in Healthcare,Machine Learning: Basics and Healthcare Applications,Deep Learning Algorithms and Medical Imaging,Processing Electronic Health Records,Patient Data Security and Privacy,Diagnosis and Treatment Planning with AI,Robotic Systems: Applications in Physiotherapy,Natural Language Processing (NLP) in Healthcare,Ethical Dimensions of Artificial Intelligence,Predictive and Prognostic Models with AI in Healthcare,AI-Powered Patient Monitoring and Management Systems,Artificial Intelligence in Healthcare: Future Trends and Developments,Artificial Intelligence in Healthcare: Future Trends and Developments.
Course Learning Outcomes
Teaching Methods
Assessment Methods
Teaching Methods:
Assessment Methods:
Course Outline
Order
Subjects
Preliminary Work
1
Definition of Artificial Intelligence and its Applications in Healthcare
1. Source - 1. Chapter
2
Artificial Intelligence and Data Analytics: Applications in Healthcare
1. Source Page 1-23
3
Machine Learning: Basics and Healthcare Applications
1. Source page 23-35
4
Deep Learning Algorithms and Medical Imaging
1. Resource Page 109-123
5
Processing Electronic Health Records
1. Source Page 73-91
6
Patient Data Security and Privacy
1. Source Page 91-109
7
Diagnosis and Treatment Planning with AI
1. Source Page 1-23
8
Robotic Systems: Applications in Physiotherapy
1. Source Page 1-23
9
Natural Language Processing (NLP) in Healthcare
1. Source Page 1-23
10
Ethical Dimensions of Artificial Intelligence
1. Source Page 1-23
11
Predictive and Prognostic Models with AI in Healthcare
1. Source Page 190-195
12
AI-Powered Patient Monitoring and Management Systems
1. Source Page 190-195
13
Artificial Intelligence in Healthcare: Future Trends and Developments
Literature Research
14
Artificial Intelligence in Healthcare: Future Trends and Developments
Literature Research
Resources
Kumar, A., Ahirwal, M. K., & Londhe, N. D. (2022). Sağlık Bakımı için Yapay Zeka Uygulamaları. CRC Press.
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
PQ-1. Equipped with adequate, trustworthy and up-to-date knowledge of Physiotherapy and Rehabilitation.
X
2
PQ-2. It uses the evaluation methods for healthy, disabled and individuals who require physiotherapy and plans and implements the physiotherapy program.
X
3
PQ-4. Practices using knowledge and skills based on the evidence specific to the field of physiotherapy and rehabilitation.
X
4
PQ-4. For function and independence in the daily life activities of individuals who require physiotherapy and rehabilitation, physiotherapy applications can be carried out using appropriate technology, training and treatment equipment.
X
4
PQ-4. For function and independence in the daily life activities of individuals who require physiotherapy and rehabilitation, physiotherapy applications can be carried out using appropriate technology, training and treatment equipment.
X
5
PQ-5. Has the ability to work independently and effectively between disciplinary and interdisciplinary in his professional practices.
X
6
PQ-6. Social responsibility plays a role in consciousness, research, projects and events.
X
7
PQ-7. Adopt life-time adaptation to new conditions, learning, developing new ideas, attaching importance to quality, and use information sources effectively.
X
8
PQ-8. The developments in physiotherapy and rehabilitation are followed by at least one foreign language.
X
9
PQ-9. Has the ability to communicate verbally and in writing in Turkish.
X
10
PQ-10. Act in accordance with the legislation and professional codes of conduct in cooperation with the relevant disciplines, considering the rights and responsibilities of the task in physiotherapy and rehabilitation applications.
