Department of Medical Informatics and Artificial Intelligence

In this course, you will learn how to use practical application of the basic methods of filtration, analysis, coding, recognition, and synthesis of the speech signal, taking into account their applications in biomedical engineering.

This course deals with the basic definitions and issues in the field of biometrics and the history of the development of these methods. In addition, presentation of error models and criteria for selecting techniques when creating biometric systems and getting acquainted with the methods of obtaining, processing, and protecting biometric information, along with applicable laws and regulations.

The aim of the course is to familiarize students with integrated Business Intelligence data processing systems and low-level data processing.

The course focuses on the basics of programming engineering. The issues discussed concern single applications and multi-module IT systems, with particular attention paid to the architecture, limitations, and solutions used in distributed systems.

The course provides students with advanced computational techniques used in the processing of medical images and their use and fusion in designing a computer-aided medical diagnostic station. The progress observed in the field of medical imaging techniques as well as modeling of anatomical structures, combined with the rapid increase in computing power and visualization capabilities, entails the development of computer-aided diagnostics and medical therapy (CAD&MT) tools. Moreover, it is the driving force of a new field of science, which is biomedical engineering. The cooperation between a doctor, who provides research results and hopes for obtaining either an IT tool for the diagnostic and therapeutic process or material to be used as artificial organs and a scientist-technician, serves both entities and contributes to the progress of medicine. The course presents several advanced image processing techniques used in CAD&MT tasks.

The course aims to familiarize students with the methods of supporting surgical procedures performed with minimally invasive methods, including laparoscopic procedures performed within the abdominal cavity. The scope of the discussed methods includes visual navigation techniques, techniques used in training and supervised treatments, and the creation of program modules in navigation systems.

This course focuses on using modern methods of artificial intelligence in information processing systems. Particular emphasis will be placed on information processing using fuzzy methods and fuzzy logic in expert decision support systems.

In this course, you will learn the theoretical foundations and methodology of developing and performing advanced engineering mathematical models for the observed physical phenomena.

The aim of the course is to present and discuss the basic elements of the use of computer science in patient IT service in health care units.

This course aims to provide the students with the theoretical and practical foundations of the design of image navigation systems used in diagnostics and therapy.

The course aims to acquaint students with the possibilities offered by the available free medical image processing libraries on the example of Insight Segmentation and Registration Toolkit (ITK) and SimpleITK. You will acquire the ability to use ready-made image processing algorithms available in ITK / SimpleITK in practice. Practical use of ITK to solve a given problem related to the processing of medical images.

The course presents and discusses the basic elements of computer science applications in biomedical sciences and medicine. It shows the methods of obtaining and hybrid processing medical images of various modalities and their use in medical diagnosis and therapy.