Publications by authors named "K van der Wulp"
Background: Many promising artificial intelligence (AI) and computer-aided detection and diagnosis systems have been developed, but few have been successfully integrated into clinical practice. This is partially owing to a lack of user-centered design of AI-based computer-aided detection or diagnosis (AI-CAD) systems.
Objective: We aimed to assess the impact of different onboarding tutorials and levels of AI model explainability on radiologists' trust in AI and the use of AI recommendations in lung nodule assessment on computed tomography (CT) scans.
Article Synopsis
- The study compares transaxillary (TAx) access and transfemoral (TF) access in transcatheter aortic valve implantation (TAVI) to assess their safety and efficacy.
- A total of 6,334 patients were evaluated, with 322 from each group after reducing selection bias.
- Results showed that both access methods had similar mortality rates at 30 days and one year, but TAx had a higher rate of myocardial infarction and a lower rate of permanent pacemaker implantations compared to TF access.
Radiological imaging plays a crucial role in the detection and treatment of pancreatic ductal adenocarcinoma (PDAC). However, there are several challenges associated with the use of these techniques in daily clinical practice. Determination of the presence or absence of cancer using radiological imaging is difficult and requires specific expertise, especially after neoadjuvant therapy.
View Article and Find Full Text PDFArticle Synopsis
- AI algorithms have been developed to help radiologists reduce missed or misdiagnosed lung nodules on CT scans, with some already in practice.
- Studies show that AI assistance generally improves radiologists' sensitivity and overall performance in detecting lung nodules and predicting malignancy, although specificity may be slightly lower.
- Despite promising results, there's a need for more research on the practical integration of AI tools in clinical workflows, their clinical validation, and impacts on patient follow-up.
Aims: Paravalvular regurgitation (PVR) is a common complication after transcatheter aortic valve replacement (TAVR) that poses an increased risk of rehospitalization for heart failure and mortality. The aim of this study was to assess the accuracy of haemodynamic indices to predict relevant PVR.
Methods And Results: In this prospective single-centre clinical trial, four haemodynamic indices of PVR measured during TAVR were assessed for their correlation with gold standard cardiac magnetic resonance (CMR)-derived regurgitant fraction (CMR-RF) at 1 month follow-up: diastolic delta (DD), heart rate-adjusted diastolic delta (HR-DD), aortic regurgitation index (ARI), and aortic regurgitation index ratio (ARI ratio).