Errors in the interpretation of x-ray images

X-ray examinations remain one of the most common and accessible methods of visual diagnosis, widely used in clinical practice. The quality of X-ray interpretation directly affects the accuracy of diagnosis and the effectiveness of subsequent stages of treatment, but for medical students, this process is often quite difficult. In this regard, it is necessary to study the causes of errors in the interpretation of X-ray images at the stage of professional training. The study aimed to identify the main causes of errors in the interpretation of X-ray images and the characteristics associated with the training profile of students. The study involved 164 medical university students studying paediatrics (n = 62), general medicine (n = 88) and preventive medicine (n = 14). Data were collected through an anonymous online questionnaire that included closed and open-ended questions aimed at assessing the difficulties of interpreting radiographic images, the level of confidence and the amount of practical experience. Descriptive statistics, one-way analysis of variance, Kruskal-Wallis test, χ² and Pearson’s correlation analysis were used for statistical analysis. The study determined that the most common errors were missing pathological changes, incorrect localisation of foci and misinterpretation of artefacts. The greatest difficulties were caused by chest X-rays, lateral projections, and images of the musculoskeletal system. The average level of confidence of students in interpreting X-rays was low, at 4.1 ± 1.7 points. Medical students demonstrated a higher level of confidence and a lower error rate compared to students from other disciplines. A moderate negative correlation was found between the level of confidence and the number of errors made. The results obtained indicate the need to expand the scope of practice-oriented training, introduce a systematic approach to the interpretation of X-ray images, and use modern digital educational tools to improve the quality of training for future doctors