Publications by authors named "E T te Beek"

Introduction: A chest X-ray (CXR) is the most common imaging investigation performed worldwide. Advances in machine learning and computer vision technologies have led to the development of several artificial intelligence (AI) tools to detect abnormalities on CXRs, which may expand diagnostic support to a wider field of health professionals. There is a paucity of evidence on the impact of AI algorithms in assisting healthcare professionals (other than radiologists) who regularly review CXR images in their daily practice.

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Background: Diabetes mellitus is an established cardiovascular risk factor. We assessed the impact of diabetes mellitus on quantitative plaque and long-term outcomes in patients with and without diabetes mellitus in the Scottish COmputed Tomography of the HEART (SCOT-HEART) trial.

Methods: Coronary artery calcium (CAC) was assessed on non-contrast computed tomography (CT).

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Background: Myocardial fibrosis is a key healing response after myocardial infarction driven by activated fibroblasts. Gallium-68-labeled fibroblast activation protein inhibitor ([Ga]-FAPI) is a novel positron-emitting radiotracer that binds activated fibroblasts.

Objectives: The aim of this study was to investigate the intensity, distribution, and time-course of fibroblast activation after acute myocardial infarction.

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Background/objectives: The COVID-19 pandemic created many challenges for health services, particularly during lockdown periods. Asthma is one of the most common childhood conditions, and children with asthma are generally cared for in an outpatient setting. In regional Northwest Tasmania, during the COVID-19 lockdowns, asthma and allergy outpatient clinic services were transferred to a virtual platform in the form of telehealth appointments for routine consultations.

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