AIMS
This course aims to expose students to the scientific method, the guidelines for good clinical practice, in the context of clinical research in the field of radiology.
LEARNING OUTCOMES
Learning outcomes will include the ability to participate in scientific debate, critically read and interpret a scientific article, be involved in the design of a clinical study, analyze data, understand the implications and draw conclusions
Lectures with the aid of computer supports and debate.
Students with Specific Learning Disorders (SLD) or other certified special educational needs shall contact the lecturer and the School/Department's disability coordinator at the beginning of the course to agree on any teaching methods that, while respecting the course objectives, take into account individual learning styles.
The Scientific Method: Motivation, History, and Examples
Research protocols and study designs
The role of medical statistics
Data presentation and interpretation
Good Clinical Practice (GCP) guidelines
Analysis and discussion of scientific publications in medical radiology
Provided during the class and shared on Aulaweb. Additional textbooks might be suggested during the class to delve further into specific topics.
Ricevimento: Prof. Costagli is available by appointment (to be agreed via e-mail), either in person at the University Department or online (for example, via Teams or Meet).
The timetable for this course is available here: EasyAcademy
The exam is taken at the level of the integrated course. The assessment of learning for this specific subject is carried out through a written exam in the form of a multiple-choice quiz.
The exam will cover the topics discussed in class. The student must know and describe the steps of the scientific method, discuss different types of clinical study designs, understand the fundamental principles of good clinical practice, and be familiar with the different types of scientific publications. Students who do not obtain a score of at least 18 points out of 30 will not pass the exam.
For further information not included in the course description, please contact the lecturer.
