For foreign students
Radiology

Radiology

QUALIFICATION

  • Clinical training - Radiologist

MODEL OF GRADUATING STUDENT

1. Integrate knowledge and skills to effectively conduct radiological examinations and interpret their results, conduct differential diagnosis based on the application of the principles of evidence-based medicine at all levels of medical care in order to achieve optimal results for the patient.
2. Conduct high-tech research in imaging diagnostics, taking into account standards and evidence-based practice in medical care, a personalized approach based on the application of knowledge in neuroradiology, oncoradiology.
3. Use modern information-digital and innovative technologies in visual diagnostics, including the capabilities of artificial intelligence, and healthcare information systems to solve professional problems, increase their effectiveness in ensuring the safety and quality of medical care.
4. Effectively use communication skills to establish positive and trusting relationships with patients and their families (or legal representatives) in the process of performing diagnostic procedures for diseases, initiating appropriate interventions. including in emergency conditions, screening studies of risk groups.
5. Apply knowledge of the basic principles of human behavior and the psychology of patients to effectively communicate and manage the diagnostic process in an ethical and ethical manner, demonstrating teamwork with other healthcare professionals.
6. Timely and effectively provide specialized and highly specialized medical care in emergency and life-threatening conditions, including emergencies, natural and man-made disasters, pandemics.
7. Evaluate the effectiveness and safety of the applied diagnostic studies based on the application of knowledge on radiation safety, the rationality of diagnosis, measures to protect the rights of the doctor and patient, guided by the regulatory legal acts that determine the activities of organizations and medical workers in the field of health protection.
8. Follow the highest standards of professional responsibility and integrity, focus on personal growth and lifelong learning.
9. Analyze and critically evaluate professional literature, formulate research questions, effectively use international databases in their daily activities, participate in scientific research aimed at advancing knowledge in the field of human health and improving the quality of life.

Program passport

Speciality Name
Radiology
Speciality Code
7R01115
Faculty
Faculty of Medicine and Health

disciplines

Complex radiation diagnostics of diseases of organs and systems
  • Number of credits - 12
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Integration of knowledge and skills in the application of all methods, including high-tech ones, for complex radiodiagnosis in diseases of all organs and systems in adults and children, based on the use of IT technologies in a clinical context, to ensure timely, fair, highly specialized and personalized care, especially in emergency situations in multidisciplinary team of specialists.

Computed tomography 1: organs of the chest
  • Number of credits - 10
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Mastering the knowledge of CT studies (algorithm) and interpretation of CT images in diseases of the chest in adults and children based on knowledge of CT semiotics, pathogenesis and pathomorphology in a clinical context, with attention to the safety of the patient and staff (including radiation), efficiency, timeliness and quality of diagnostics of especially emergency conditions in a multidisciplinary team of specialists.

Computed tomography 2
  • Number of credits - 10
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Formation of skills in CT examination (algorithm) and interpretation of CT images of diseases of the abdominal cavity and small pelvis, urinary, nervous and osteoarticular systems in adults and children based on knowledge of CT semiotics, pathogenesis and pathomorphology in a clinical context, with attention to radiation safety for the patient and staff, the effectiveness of diagnosing especially emergency conditions in a multidisciplinary team.

Magnetic resonance imaging 1: organs of the abdominal cavity and small pelvis
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Training in MRI examination skills (algorithm) and interpretation of MR images in diseases of the abdominal cavity and small pelvis in adults and children based on knowledge of MR semiotics, pathogenesis and pathomorphology in a clinical context, regarding safety for the patient and staff (including safety), efficiency, timeliness and quality of diagnostics of especially emergency conditions in a multidisciplinary team.

Magnetic resonance imaging 2
  • Number of credits - 15
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Mastering MRI skills (algorithm) and interpretation of MR images in diseases of the chest, urinary, nervous and osteoarticular systems in adults and children based on knowledge of MR semiotics, pathogenesis and pathomorphology in a clinical context, with attention to patient safety and personnel (including safety), the effectiveness of diagnosing especially emergency conditions in a multidisciplinary team.

Nuclear medicine
  • Number of credits - 10
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Conducting research in nuclear medicine and interpretation of radioisotope images in diseases, including those that are difficult to diagnose and oncopathology, in adults and children, based on knowledge of radioisotope semiotics, pathogenesis and pathomorphology, cardiology, urology, neuroradiology and oncoradiology in a clinical context, with attention to safety, using opportunities innovative research methods for personalized and timely high-tech care.

Pediatric radiology
  • Number of credits - 12
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Mastering of skills in x-ray examination (algorithm) and interpretation of x-ray images in diseases of all organs and systems in children based on the application of knowledge of x-ray semiotics, pathogenesis and pathomorphology in a clinical context, taking into account age characteristics, patient and staff safety (including radiation), efficiency, timeliness and quality of diagnostics of especially emergency conditions in a multidisciplinary team of specialists.

Radiology 1: respiratory and cardiovascular systems
  • Number of credits - 10
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Formation of skills in x-ray examination (algorithm) and interpretation of x-ray images in diseases of the respiratory, cardiovascular system and mediastinal organs based on the application of knowledge of x-ray semiotics, pathogenesis and pathomorphology in a clinical context, with attention to the safety of the patient and staff (including radiation), efficiency, timeliness and quality of diagnostics of especially emergency conditions in a multidisciplinary team of specialists.

Radiology 2: osteoarticular system
  • Number of credits - 13
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Mastering X-ray skills (algorithm) and interpretation of x-ray images in diseases of the osteoarticular system based on the application of knowledge of x-ray semiotics, pathogenesis and pathomorphology in a clinical context, with attention to patient and staff safety (including radiation), efficiency , timeliness and quality of diagnostics of especially emergency conditions in a multidisciplinary team of specialists.

Radiology 3: digestive, urinary systems
  • Number of credits - 7
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Training in X-ray methods (algorithm) and interpretation of x-ray images in diseases of the digestive and urinary systems based on the application of knowledge of x-ray semiotics, pathogenesis and pathomorphology in a clinical context, with attention to patient and staff safety (including radiation), efficiency, timeliness and quality of diagnostics of especially emergency conditions in a multidisciplinary team of specialists.

Radiology in mammology
  • Number of credits - 10
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Training in radiological research methods in the breast research algorithm and interpretation of the results of mammography, tomosynthesis, computer / positron emission / magnetic resonance imaging, based on the BI-RADS system, applying knowledge of radiological semiotics, pathogenesis and pathomorphology in a clinical context, in compliance with ethics and deontology in a multidisciplinary team of specialists.

Ultrasound diagnostics 1
  • Number of credits - 10
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Research skills training and interpretation of sonography results in diseases of the digestive, endocrine, respiratory and genitourinary systems based on knowledge of ultrasound semiotics in children and adults, pathogenesis and pathomorphology in a clinical context, using effective communication skills and using ICT, striving for the timeliness and quality of diagnosis, especially emergency ones states in a multidisciplinary team of specialists

Ultrasound diagnostics2: Echocardiography
  • Number of credits - 10
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Mastering ultrasound skills and interpretation of echocardiography results in diseases of the cardiovascular system based on the application of knowledge on echosonography of the heart and vessels in children and adults, pathogenesis and pathomorphology in a clinical context, using effective communication skills and using ICT, striving for timeliness and quality of diagnosis especially emergency conditions in a multidisciplinary team of specialists.

Data for 2023-2026 years

disciplines

Artificial Intelligence in Visual Diagnostics
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Using the skills of exploratory analysis to explore the possibilities of using IT in X-ray and CT diagnostics as an auxiliary tool for solving problems of improving the efficiency and quality of medical care: an information environment and a set of digital services and devices for diagnosing and monitoring the health status of individual patients and groups. Saving and transferring examination results, patient registers. Opportunities and limitations of the use of artificial intelligence for the analysis of medical images in radiology

Comprehensive antenatal screening
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Deepening knowledge and skills in complex antenatal diagnosis of fetal anomalies based on the use of radiation and other methods, evidence-based practice and screening algorithms in order to increase its effectiveness, maximize the benefits and minimize the harm from screening. Improving skills in the application of digital technologies. Application of databases of evidence-based medicine. Providing correct information to parents.

Radioimmune diagnostics
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Radioimmune diagnostics as the most accurate and reliable method for studying pathological changes in oncological, cardiological, endocrine and gynecological diseases. Skills for selecting, conducting and interpreting data from a study of the activity and reactivity of biologically active substances (hormones, neurotransmitters, etc.) when conducting pharmacological tests, a scientifically based approach to personalizing the diagnostic and treatment of diseases.

Translational Medicine in Radiology
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Developing critical analysis skills when studying research data and implementing the achievements of personalized medicine and translational medicine in radiology. Molecular research in oncology and genomics, metabolomics and proteinomics of orphan diseases in the context of clinical manifestations and radiological features of PET-CT and MR semiotics. A systematic approach to a comprehensive assessment of data according to the principles of evidence-based medicine.

Data for 2023-2026 years

INTERNSHIPS