Computed tomography (CT) at the third lumbar vertebra (L3) is widely used for muscle quantification, but manual segmentation is labor intensive. This study externally validates an AI model, trained on a public dataset, for automated L3 muscle segmentation using an independent cohort, including a subgroup …

This chapter aims to raise awareness about the ethical considerations surrounding the use of AI in medical imaging and radiography. It emphasises the importance of integrating both medical ethical principles (beneficence, non-maleficence, respect for autonomy, and justice) and ethical AI principles. …

Een van de zorgprofessionals die met AI te maken krijgt binnen de radiologie, nucleaire geneeskunde en radiotherapie, is de medisch beeldvormings- en bestralingsdeskundige (MBB'er). Door de integratie van AI in de gezondheidszorg is er een groeiende behoefte aan de bij -en nascholing van de huidige MBB'ers …

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 …

INTRODUCTION: With the introduction of digital radiography, the feedback between image quality and over-exposure has been partly lost which in some cases has led to a steady increase in dose. Over the years the introduction of exposure index (EI) has been used to resolve this phenomenon referred to as …

INTRODUCTION: In the Netherlands, Diagnostic Reference Levels (DRLs) have not been based on a national survey as proposed by ICRP. Instead, local exposure data, expert judgment and the international scientific literature were used as sources. This study investigated whether the current DRLs are reasonable …

Door recente verlaging van de equivalente dosis van de ooglens van 150 mSv naar 20 mSv per jaar, is het belang van goed monitoren van ontvangen dosis nog belangrijker geworden. In deze studie is onderzocht wat de stralenbelasting is van interventiecardiologen, cardio-thoracaalchirurg, cardio-anesthesiologen …

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 …

Voor de preoperatieve planning en postoperatieve controles van een THP zijn pre- en postoperatieve röntgenfoto’s noodzakelijk. In het MCL zijn dit de AP en axiale heupopname. De axiale opname heeft een hoge stralingsdosis en een patiënt positioneren is moeilijk, wat kan resulteren in herhaalde blootstellingen. …

The value which research brings to health and wellbeing is unquestioned. Without it, progress in diagnosis, treatment and care would probably cease and the service offered to patients and clients would deteriorate. Engaging student radiographers, and radiographers who are early in their careers, with …