Publications by authors named "Marisse Meeus"
Article Synopsis
- Developed an AI software system to predict late-onset sepsis (LOS) and necrotizing enterocolitis (NEC) in premature infants in the NICU using continuous monitoring data.
- The study used an XGBoost machine learning algorithm on a dataset of 865 preterm infants, achieving a sensitivity of 69% for all episodes and 81% for severe cases, significantly reducing the time to diagnosis.
- The AI model's predictions can support clinicians' early detection efforts, indicating potential clinical and socioeconomic benefits, with further studies needed to understand the combined impact of AI and clinical expertise on patient outcomes.
Expectant Management or Early Ibuprofen for Patent Ductus Arteriosus.
N Engl J Med
March 2023
Background: Cyclooxygenase inhibitors are commonly used in infants with patent ductus arteriosus (PDA), but the benefit of these drugs is uncertain.
Methods: In this multicenter, noninferiority trial, we randomly assigned infants with echocardiographically confirmed PDA (diameter, >1.5 mm, with left-to-right shunting) who were extremely preterm (<28 weeks' gestational age) to receive either expectant management or early ibuprofen treatment.
Application and potential of artificial intelligence in neonatal medicine.
Semin Fetal Neonatal Med
October 2022
Neonatal care is becoming increasingly complex with large amounts of rich, routinely recorded physiological, diagnostic and outcome data. Artificial intelligence (AI) has the potential to harness this vast quantity and range of information and become a powerful tool to support clinical decision making, personalised care, precise prognostics, and enhance patient safety. Current AI approaches in neonatal medicine include tools for disease prediction and risk stratification, neurological diagnostic support and novel image recognition technologies.
View Article and Find Full Text PDFObjective: We investigated the association between maternal cervicovaginal cultures, its antibiotic treatment, and neonatal outcome.
Study Design: This retrospective cohort study enrolled 480 neonates born prior to 32 weeks' gestation. They were divided into groups according to maternal cervicovaginal culture results.
Machine Learning to Support Hemodynamic Intervention in the Neonatal Intensive Care Unit.
Clin Perinatol
September 2020
Hemodynamic support in neonatal intensive care is directed at maintaining cardiovascular wellbeing. At present, monitoring of vital signs plays an essential role in augmenting care in a reactive manner. By applying machine learning techniques, a model can be trained to learn patterns in time series data, allowing the detection of adverse outcomes before they become clinically apparent.
View Article and Find Full Text PDFEpilepsy in children with Down syndrome: not so benign as generally accepted.
Acta Neurol Belg
December 2015
Article Synopsis
- Down syndrome (DS) is a common condition that can cause some kids to have trouble learning and also leads to health problems like seizures.
- One type of seizure that kids with DS often have is called epileptic spasms (ES), which are hard to treat with medicines.
- In a study with 12 kids at a hospital, they found that treatments worked poorly, especially with steroids that usually help, showing a success rate of only 8.3%.