The affordances of technology‐based assessments, like the objectively structured practical examination, have become an integral part of gross anatomy courses. The Department of Anatomy Faculty of Medicine at the University of Warmia and Mazury developed and introduced an application for tablet devices which has been implemented in student examinations and assessments, called the tablet‐assisted objective structured spotter practical examination. It was created to simplify the educational process and to build a rich learning environment, facilitating deep learning for students through examination and feedback data. The method consists of cadaver stations with traditional corresponding pin spotters in an expanded tablet application. It not only provides instant feedback on various observations of teaching–learning skills but has also positively affected the entire process of education. The method provides an unbiased evaluation of knowledge and understanding of the anatomy course, ensuring objectivity and standardization. The current study was performed on a total of 608 first‐year medical students in Polish and English divisions and focused on the observed advantages since the new method was introduced. Outcomes indicate that after the implementation of the method for both the Polish and English divisions' first‐year medical students, the mean score of examinations significantly increased compared to other teaching–learning methods. The study highlights that students were excited about the implementation of the new method and identified its many benefits. It is recognized that technological development and the digital environment offer a range of opportunities and added value versus traditional assessment activities, methods, and processes.
Introduction: The development of systems that merge existing technologies with gathered data may bring some spectacular effects that are usable both in preoperative and educational processes. Augmented reality (AR) is one of the key aspects of the new medical approach. Newly fused data sets draw from it and give users a better overall experience. Aim: The main goal of this study was to enable the interactive presentation of patients’ CT and MRI combined data with the incorporation of AR tools considering the accuracy of the data with an emphasis on vascular structures. Material and methods: The registration method, reconstruction of the vascular system using tubular structures, and error analysis using surface distance measurements results were used in the system to provide accurate combined information about bony structures from CT volume and vascular objects and cerebral vessels from MRI. Results and discussion: The strategies concern a series of CTI volumes that could be used to analyze bony surgical procedures. The methods are preferred, especially to the most complicated and individually modified bony structures of the skull. Removing, replacing, or modifying these bony structures or elements of the skull could be used as an analysis of operating procedures at the particular stages of the operation during neurosurgical or otolaryngological techniques. Conclusions: Presented study regarded to an innovative system consisting of a CT and MRI datasets fusion. The distance analysis of the segmented vascular model and proposed method for stabilization of the human head combined with virtual sculpting technique. In conclusion, it was meaningful in many aspects of the scientific-technological merge.
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