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Information
| Unit | ABDİ SÜTCÜ HEALTH SERVICES VOCATIONAL SCHOOL |
| Code | SHS185 |
| Name | Artificial Intelligence in Medical Imaging |
| Term | 2026-2027 Academic Year |
| Semester | 1. 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. İDİL YÜREKLİ |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The aim of this course is to enable students to understand the basic principles of artificial intelligence techniques used in medical imaging, to grasp the logic behind algorithms that work with image data, and to critically evaluate the use of artificial intelligence in clinical applications.
Course Content
Introduction to medical imaging systems, fundamentals of artificial intelligence and machine learning, deep learning algorithms, image processing techniques, AI applications in radiology (MRI, CT, ultrasound), diagnostic support systems, datasets, and ethical issues.
Course Precondition
None
Resources
Lecture notes
Notes
Current articles and online resources
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | It explains the basic concepts of artificial intelligence. |
| LO02 | It evaluates medical imaging methods from an artificial intelligence perspective. |
| LO03 | It classifies machine learning algorithms. |
| LO04 | It explains the working principles of deep learning models. |
| LO05 | It analyzes the steps involved in image processing. |
| LO06 | It evaluates artificial intelligence applications from a clinical perspective. |
| LO07 | The model interprets performance metrics. |
| LO08 | It evaluates the advantages and limitations of artificial intelligence in clinical applications. |
| LO09 | It discusses ethical and data security issues. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explains the basic anatomical structure and function of people. | |
| PLO02 | Beceriler - Bilişsel, Uygulamalı | Defines the modalities used in medical imaging and the selection of appropriate modalities | 3 |
| PLO03 | Bilgi - Kuramsal, Olgusal | List the usage steps of medical imaging devices. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Describe medical imaging methods. | 3 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Lists the radiology tools and equipment. | |
| PLO06 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Plans the procedures for preanalytical, analytical and post analytical phases. | |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Prepare the patient before the radiology examination. | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Takes necessary measures for radiation safety. | |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Applies the medical examination parameters correctly. | 2 |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Performs contrast agent administration as prescribed to the patient. | |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Enables recording and archiving of the resulting image onto film, paper, CD or DVD. | |
| PLO12 | Bilgi - Kuramsal, Olgusal | It makes the calibration and maintenance of radiology devices regularly | |
| PLO13 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Identify and obtain the deficiencies of radiological examination units. | |
| PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Provides coordination by informing the physician about the critical values. | 3 |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | After graduation, the student will have the ability to critically evaluate the information he has learned with his knowledge. | |
| PLO16 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | It works in harmony with the team members in the Angiography and Interventional Radiology units. | |
| PLO17 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Be able to communicate with colleagues, patients and physicians in a healthy and ethical sense. | 3 |
| PLO18 | Yetkinlikler - Öğrenme Yetkinliği | Uses information communication technologies and at least one foreign language. | 4 |
| PLO19 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Takes measures related to health and safety in the work environment and makes the first intervention when necessary. | |
| PLO20 | Yetkinlikler - Öğrenme Yetkinliği | Follows the technological developments and analyzes the dynamics specific to the field. | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Digital foundations of medical imaging. | Reading course materials | Öğretim Yöntemleri: Anlatım |
| 2 | Introduction to artificial intelligence and terminology. | Reading from resources and lecture notes. | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 3 | Introduction to machine learning | Reading course materials, video presentations | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 4 | Supervised learning (regression, classification) | Reading course materials, video presentations | Öğretim Yöntemleri: Anlatım, Tartışma |
| 5 | Supervised learning (clustering) | Reading course materials, video presentations | Öğretim Yöntemleri: Anlatım, Tartışma |
| 6 | Deep learning and CNN logic | Reading course materials, online presentations | Öğretim Yöntemleri: Anlatım, Beyin Fırtınası |
| 7 | Image processing techniques | Reading course materials | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 8 | Mid-Term Exam | Review of the topics | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Data sets and annotation processes | Reading course materials, video presentations | Öğretim Yöntemleri: Anlatım, Proje Temelli Öğrenme |
| 10 | Artificial intelligence applications in CT images | Reading course materials, conference proceedings. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Beyin Fırtınası |
| 11 | Artificial intelligence in MRI images | Reading course materials, conference proceedings. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Beyin Fırtınası |
| 12 | Ultrasound and mammography procedures | Reading course materials, conference proceedings. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Beyin Fırtınası |
| 13 | Performance metrics and model evaluation | Reading course materials, online presentations | Öğretim Yöntemleri: Anlatım, Beyin Fırtınası, Grup Çalışması |
| 14 | Ethics, bias, and data security. | Reading course materials | Öğretim Yöntemleri: Anlatım |
| 15 | General review and case analyses | General review and case analyses; Reading course materials, online presentations, video presentations. | Öğretim Yöntemleri: Anlatım, Tartışma, Gösterip Yaptırma, Bireysel Çalışma |
| 16 | Term Exams | Review of the topics | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Review of the topics | 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 | 1 | 1 |
| Final Exam | 1 | 1 | 1 |
| Total Workload (Hour) | 72 | ||
| Total Workload / 25 (h) | 2,88 | ||
| ECTS | 3 ECTS | ||