Code

AIDL_B_CS02

Course Type

Minor

Semester

2nd

Category

Elective

ECTS

6

Lecturers

George Matsopoulos, Ioannis Kakkos

Artificial Intelligence (AI) in the past decade has transformed industries around the globeproviding the potential to change the healthcare sector radically. Medical data are produced daily in large numbers either in Hospital Radiology Departments or in corresponding Microbiological Laboratories. All collected data as well as the procedures used for their collection, are able to be analyzed by AI and Deep Learning (DL) algorithms in order to optimize patient care viaattaining moreaccurate diagnosis and prognosis. During this course, students will become familiar with techniques which process and analyze bio-signals (electroencephalogram, electromyogram, electrocardiogram, etc.), two and three-dimensional image data representations (x-rays, CTscan, magnetic resonance imaging, etc.) as well as Diagnostic Support Systems using various techniques of AI and DL. Moreover, students will have the opportunity to apply AI / DL algorithms to real visual data / bio-signals.