Validation of SynthSeg segmentation performance on CT using paired MRI from radiotherapy patients.

Introduction: Manual segmentation of medical images is labor intensive and especially challenging for images with poor contrast or resolution. The presence of disease exacerbates this further, increasing the need for an automated solution. To this extent, SynthSeg is a robust deep learning model designed for automatic brain segmentation across various contrasts and resolutions.

Impact of Persistent Pulmonary Hypertension of the Newborn in Neonates with Dextro-transposition of the Great Arteries.

Objectives: This study aimed to assess the impact of persistent pulmonary hypertension of the newborn (PPHN) on perioperative morbidity and mortality in patients with dextro-transposition of the great arteries. Secondarily, we evaluated the association between postoperative outcomes and intraoperative variables including the duration of cardiopulmonary bypass, cerebral oxygen desaturation, and hypotension.

Design: Retrospective observational study.

Natural history in Malan syndrome: survey of 28 adults and literature review.

Background: Malan syndrome (MALNS), previously referred to as "Sotos syndrome 2" due to its resemblance to Sotos syndrome (SS), is an ultra-rare neurodevelopmental disorder characterized by overgrowth, typical craniofacial features, intellectual disability (ID), and a range of psychobehavioral, musculoskeletal, vision and neurological signs. As MALNS and SS partly overlap, it is essential to more accurately profile their clinical presentations and highlight their differences in order to improve syndrome specific management. An increasing number of individuals with MALNS reach adult-age though the natural history of the disorder is poorly characterized due to the small number of adult individuals described so far.

Participatory Development of an Integrated, eHealth-Supported, Educational Care Pathway (Diabetes Box) for People With Type 2 Diabetes: Development and Usability Study.

Background: Type 2 diabetes (T2D) tremendously affects patient health and health care globally. Changing lifestyle behaviors can help curb the burden of T2D. However, health behavior change is a complex interplay of medical, behavioral, and psychological factors.