In dit onderzoek is gekeken naar voorbeelden uit de literatuur vanuit verschillende gezondheidsdisciplines. Verschillende studies pasten machine learning (vaak deep learning) toe voor de vroegdetectie van ziekten op basis van beschikbare data uit het elektronisch patiëntendossier (EPD). Het bleek dat …

Breast cancer is the most prevalent form of cancer that affects women worldwide, posing a significant burden on public health. While advancements in early detection and improved treatments have led to a remarkable 90% five-year survival rate and an 83% ten-year survival rate, this has also resulted in …

Introduction Around 25% of metastatic breast cancer (mBC) patients develop brain metastases, which vastly affects their overall survival and quality of life. According to the current clinical guidelines, regular magnetic resonance imaging screening is not recommended unless patients have recognized central …

Objective To evaluate the incidence, diagnostic management strategies and clinical outcomes of women with spontaneous haemoperitoneum in pregnancy (SHiP) and reassess the definition of SHiP. Design A population-based cohort study using the Netherlands Obstetric Surveillance System (NethOSS). Setting Nationwide, …

Vroegsignalering van hoogbegaafde kinderen wordt als lastig ervaren door leerkrachten en ouders. Hierdoor wordt hoogbegaafdheid vaak te laat gesignaleerd, wat kan leiden tot problemen zoals verveling in de klas, problematisch gedrag of onderpresteren. Het doel van dit onderzoek is om erachter te komen …

Objectives: Pulmonary hypertension is one of the leading causes of death in systemic sclerosis. Early detection and treatment of pulmonary hypertension in systemic sclerosis is crucial. Nailfold capillaroscopy microscopy, vascular autoantibodies AT1R and ETAR, and several candidate-biomarkers have the …

Machine learning models have proven their use in the medical field, assisting physicians in early diagnosis of serious diseases. Diabetic retinopathy is one of such diseases that could benefit from early detection, but the amount of data available to train accurate models is limited. This challenge could …

The early detection of breast-cancer-related lymphedema and referral for therapy has the potential to reduce lymphedema-related morbidity. Although research shows the benefits, a gap is observed between evidence and daily practice. We aimed to determine whether the early detection of lymphedema and referral …