Information Package / Course Catalogue
| Course Code | : HB004 |
| 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 |
The aim is to introduce students to the fundamental concepts and applications of artificial intelligence (AI) in the healthcare sector.
The course will examine the introduction and importance of artificial intelligence in healthcare, the fundamentals of machine learning, data in healthcare (management and ethical considerations), artificial intelligence in medical imaging and diagnosis, and natural language processing in health documentation, as well as ethical considerations, data management, and the future impact of artificial intelligence in healthcare.
| 1. | Explains the fundamental concepts of artificial intelligence, machine learning, natural language processing, predictive analytics, and robotics, and evaluates their applications in healthcare services and home healthcare based on current scientific approaches. |
| 2. | Analyzes healthcare data using artificial intelligence-supported methods to facilitate clinical decision-making, identify patient care needs, and develop evidence-based care plans. |
| 3. | Evaluates and integrates AI-supported healthcare applications, telehealth systems, wearable technologies, and digital health solutions into patient care processes in accordance with patient safety, quality standards, ethical principles, and data privacy regulations. |
| 4. | Critically evaluates the ethical, legal, social, and professional dimensions of artificial intelligence applications in healthcare, collaborates effectively within multidisciplinary teams, and develops evidence-based solutions to emerging challenges. |
| 5. | Follows current developments in artificial intelligence technologies, effectively utilizes information technologies, supports lifelong learning, and plans, implements, and evaluates digital health applications for patients and their families. |
| 1. | Kumar, A., Ahirwal, M. K., & Londhe, N. D. (2022). Artificial Intelligence Applications for Healthcare. CRC Press. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Attending Lectures | 1 | %10 |
| Presentation | 1 | %10 |
| Midterm Examination | 1 | %30 |
| Final Examination | 1 | %50 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 2 | 2 | 56 |
| Presentation | 1 | 5 | 1 | 6 |
| Midterm Examination | 1 | 5 | 1 | 6 |
| Final Examination | 1 | 5 | 1 | 6 |
| TOTAL WORKLOAD (hours) | 74 | |||
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 | |
OÇ-1 | 5 | 1 | 5 | 4 | 2 | 1 | 1 | 4 | 2 | 2 | 2 | 2 | 1 | 1 |
OÇ-2 | 5 | 1 | 5 | 5 | 3 | 1 | 1 | 4 | 2 | 2 | 3 | 3 | 1 | 1 |
OÇ-3 | 4 | 1 | 5 | 4 | 5 | 2 | 2 | 4 | 4 | 2 | 3 | 3 | 2 | 2 |
OÇ-4 | 4 | 1 | 5 | 4 | 4 | 2 | 2 | 5 | 3 | 3 | 2 | 2 | 1 | 2 |
OÇ-5 | 5 | 1 | 5 | 5 | 4 | 2 | 2 | 4 | 3 | 2 | 3 | 3 | 2 | 2 |