Follow-Up of Infants With Congenital Cytomegalovirus Following Maternal Primary Infection in the First Trimester and Normal Fetal Brain Imaging at Midgestation.

Objective: To determine outcomes at birth and postnatal sequelae of congenital cytomegalovirus (cCMV) infection following maternal primary infection in the first trimester with normal fetal brain imaging at midgestation.

Methods: A retrospective, single-center cohort study was conducted, including all cases of proven cCMV infection following maternal primary infection in the first trimester from 2014 until 2021 and normal fetal brain imaging before 22 weeks of gestation. All pregnancies were followed according to our protocol, which offers amniocentesis at least 8 weeks after the onset of infection, serial ultrasound scans, and a fetal MRI in the third trimester.

Procedural sedation and analgesia in pediatric diagnostic and interventional radiology: An expert DELPHI consensus document developed by the ITALIAN scientific society of anesthesia, analgesia, resuscitation and intensive care (SIAARTI).

Background: Children undergoing diagnostic and interventional radiology procedures often require sedation to achieve immobility and analgesia if the procedure is painful. In the past decades, leading scientific organizations have developed evidence-based guidelines for procedural sedation and analgesia in children outside of the operating room. Their recommendations are being applied to procedural sedation in radiology.

Does a person's body size and the application type influence healthcare students' perceptions of technologies to promote physical activity? Findings from a cross-sectional study.

Background: Recent evidence suggests that weight bias may be pervasive, even among health professionals specialized in obesity, including healthcare students. Technology-based physical activity interventions are promising for people with obesity, specifically when they are theory-driven (e.g.

ROAD2H: Development and evaluation of an open-source explainable artificial intelligence approach for managing co-morbidity and clinical guidelines.

Introduction: Clinical decision support (CDS) systems (CDSSs) that integrate clinical guidelines need to reflect real-world co-morbidity. In patient-specific clinical contexts, transparent recommendations that allow for contraindications and other conflicts arising from co-morbidity are a requirement. In this work, we develop and evaluate a non-proprietary, standards-based approach to the deployment of computable guidelines with explainable argumentation, integrated with a commercial electronic health record (EHR) system in Serbia, a middle-income country in West Balkans.