Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|
| ARTIFICIAL INTELLIGENCE in HEALTH | PTR2215211 | Spring Semester | 2+0 | 2 | 2 |
| Prerequisites Courses | |
| Recommended Elective Courses | |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Elective |
| Course Coordinator | Prof.Dr. Ayşe Nur TUNALI |
| Name of Lecturer(s) | Lect. Simay AKDEMİR |
| Assistant(s) | |
| Aim | The aim of this course is to introduce physiotherapy students to the fundamental concepts and applications of artificial intelligence (AI) within the healthcare sector, focusing on its role in enhancing physiotherapy practices. Students will learn about the various AI tools and technologies that are revolutionizing patient care, diagnostics, treatment planning, and personalized medicine. The course will also explore ethical considerations, data management, and the future implications of AI in physiotherapy. |
| Course Content | This course contains; Introduction to Artificial Intelligence and its Significance in Healthcare,Fundamentals of Machine Learning,Data in Healthcare: Management and Ethical Considerations,AI in Medical Imaging and Diagnostics,Natural Language Processing in Healthcare Documentation,Predictive Analytics in Patient Care,Robotics and AI in Physiotherapy,Wearable Technology and Patient Monitoring,Telehealth and AI, Ethical Implications of AI in Healthcare,Legal Aspects and Data Privacy in AI Health Solutions,Case Studies: AI Success Stories in Physiotherapy,The Future of AI in Physiotherapy . |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Understand the key principles and algorithms of AI relevant to healthcare. | 16, 9 | A |
| Identify the applications of AI in diagnostics, treatment planning, and patient monitoring in physiotherapy. | 16, 9 | A |
| Evaluate the impact of AI on patient outcomes and clinical decision-making in physiotherapy. | 16, 9 | A |
| Envision the future developments of AI in physiotherapy and its potential to transform the field. | 16, 9 | A |
| Teaching Methods: | 16: Question - Answer Technique, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam |
Course Outline
| Order | Subjects | Preliminary Work |
|---|
| 1 | Introduction to Artificial Intelligence and its Significance in Healthcare | 1st Book 1st Section |
| 2 | Fundamentals of Machine Learning | 1st Source Pages 1-23 |
| 3 | Data in Healthcare: Management and Ethical Considerations | 1st Source Pages 23-35 |
| 4 | AI in Medical Imaging and Diagnostics | 1st Source Pages 109-123 |
| 5 | Natural Language Processing in Healthcare Documentation | 1st Source Pages 73-91 |
| 6 | Predictive Analytics in Patient Care | 1st Source Pages 91-109 |
| 7 | Robotics and AI in Physiotherapy | 1st Source Pages 1-23 |
| 9 | Wearable Technology and Patient Monitoring | 1st Source Pages 1-23 |
| 10 | Telehealth and AI | 1st Source Pages 1-23 |
| 11 | Ethical Implications of AI in Healthcare | 1st Source Pages 190-195 |
| 12 | Legal Aspects and Data Privacy in AI Health Solutions | 1st Source Pages 190-195 |
| 13 | Case Studies: AI Success Stories in Physiotherapy | Literature Search |
| 14 | The Future of AI in Physiotherapy | Literature Search |
| Resources |
| Kumar, A., Ahirwal, M. K., & Londhe, N. D. (2022). Artificial Intelligence Applications for Health Care. 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-3. 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 | |
| 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. | | | | | |
| 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 | PTR2215211 | Spring Semester | 2+0 | 2 | 2 |
| Prerequisites Courses | |
| Recommended Elective Courses | |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Elective |
| Course Coordinator | Prof.Dr. Ayşe Nur TUNALI |
| Name of Lecturer(s) | Lect. Simay AKDEMİR |
| Assistant(s) | |
| Aim | The aim of this course is to introduce physiotherapy students to the fundamental concepts and applications of artificial intelligence (AI) within the healthcare sector, focusing on its role in enhancing physiotherapy practices. Students will learn about the various AI tools and technologies that are revolutionizing patient care, diagnostics, treatment planning, and personalized medicine. The course will also explore ethical considerations, data management, and the future implications of AI in physiotherapy. |
| Course Content | This course contains; Introduction to Artificial Intelligence and its Significance in Healthcare,Fundamentals of Machine Learning,Data in Healthcare: Management and Ethical Considerations,AI in Medical Imaging and Diagnostics,Natural Language Processing in Healthcare Documentation,Predictive Analytics in Patient Care,Robotics and AI in Physiotherapy,Wearable Technology and Patient Monitoring,Telehealth and AI, Ethical Implications of AI in Healthcare,Legal Aspects and Data Privacy in AI Health Solutions,Case Studies: AI Success Stories in Physiotherapy,The Future of AI in Physiotherapy . |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Understand the key principles and algorithms of AI relevant to healthcare. | 16, 9 | A |
| Identify the applications of AI in diagnostics, treatment planning, and patient monitoring in physiotherapy. | 16, 9 | A |
| Evaluate the impact of AI on patient outcomes and clinical decision-making in physiotherapy. | 16, 9 | A |
| Envision the future developments of AI in physiotherapy and its potential to transform the field. | 16, 9 | A |
| Teaching Methods: | 16: Question - Answer Technique, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam |
Course Outline
| Order | Subjects | Preliminary Work |
|---|
| 1 | Introduction to Artificial Intelligence and its Significance in Healthcare | 1st Book 1st Section |
| 2 | Fundamentals of Machine Learning | 1st Source Pages 1-23 |
| 3 | Data in Healthcare: Management and Ethical Considerations | 1st Source Pages 23-35 |
| 4 | AI in Medical Imaging and Diagnostics | 1st Source Pages 109-123 |
| 5 | Natural Language Processing in Healthcare Documentation | 1st Source Pages 73-91 |
| 6 | Predictive Analytics in Patient Care | 1st Source Pages 91-109 |
| 7 | Robotics and AI in Physiotherapy | 1st Source Pages 1-23 |
| 9 | Wearable Technology and Patient Monitoring | 1st Source Pages 1-23 |
| 10 | Telehealth and AI | 1st Source Pages 1-23 |
| 11 | Ethical Implications of AI in Healthcare | 1st Source Pages 190-195 |
| 12 | Legal Aspects and Data Privacy in AI Health Solutions | 1st Source Pages 190-195 |
| 13 | Case Studies: AI Success Stories in Physiotherapy | Literature Search |
| 14 | The Future of AI in Physiotherapy | Literature Search |
| Resources |
| Kumar, A., Ahirwal, M. K., & Londhe, N. D. (2022). Artificial Intelligence Applications for Health Care. 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-3. 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 | |
| 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. | | | | | |
| 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 |
Numerical Data
Ekleme Tarihi: 11/10/2023 - 15:55Son Güncelleme Tarihi: 04/11/2023 - 14:51
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