Adequate and sufficient education and training opportunities for medical imaging professionals, such as radiographers, are essential to ensure safe and effective use of artificial intelligence (AI)-based applications in radiology. This study aimed to (1) map the thoughts of radiographers regarding the …

Abstract: AI tools in radiology are revolutionising the diagnosis, evaluation, and management of patients. However, there is a major gap between the large number of developed AI tools and those translated into daily clinical practice, which can be primarily attributed to limited usefulness and trust …

Artificial Intelligence (AI) offers promising opportunities for innovating the field of medical imaging, yet its practical implementation remains limited. Two important reasons for this are strict legislation and the unavailability of data, partly due to patient privacy. Synthetic data (SD) could offer …

Artificial Intelligence (AI) has changed radiology substantially in the last years, where the focus of attention has mainly been on the radiologist. However, the radiographer’s role has been largely ignored even though AI is also affecting for example patient positioning, treatment planning and image …

poster voor de EuSoMII Annual Meeting in Pisa, Italië in oktober 2023. PURPOSE & LEARNING OBJECTIVE Artificial Intelligence (AI) technologies are gaining popularity for their ability to autonomously perform tasks and mimic human reasoning [1, 2]. Especially within the medical industry, the implementation …

Poster KIM voor de ECR is nu online te zien via EPOS: https://epos.myesr.org/poster/esr/ecr2022/C-16092 posternummer: C-16092, ECR 2022 Purpose Artificial Intelligence (AI) has developed at high speed the last few years and will substantially change various disciplines (1,2). These changes are also …

Abstract Radiology during pregnancy: risks, radiation protection in medical practice, and communication with the patient. Authors: Harmen Bijwaard, Fleur Wit, Colinda Vroonland, has been accepted as POSTER at the 47th Annual Meeting of the European Radiation Research Society (ERRS 2022), which will …

Background: Non-technical errors, such as insufficient communication or leadership, are a major cause of medical failures during trauma resuscitation. Research on staffing variation among trauma teams on teamwork is still in their infancy. In this study, the extent of variation in trauma team staffing …

Introduction: The Netherlands does not have a national guideline for performing radiographic exami nations on pregnant patients. Radiographic examination is a generic term for all examinations performed using ionizing radiation, including but not limited to radiographs, fluoroscopy and computed tomogra …

In dit onderzoek zijn recente ontwikkelingen in Machine Learning (ML) en Deep Learning (DL) met betrekking tot borst-, fibroglandulair (FG)- en tumorweefselsegmentatie in MRI-mammografie in kaart gebracht, de prestaties van deze segmentatiesystemen zijn vergeleken en als laatste worden toekomst toepassingsmogelijkheden …