Participant Contributions to Person-Generated Health Data Research Using Mobile Devices: Scoping Review.

Background: Mobile devices offer an emerging opportunity for research participants to contribute person-generated health data (PGHD). There is little guidance, however, on how to best report findings from studies leveraging those data. Thus, there is a need to characterize current reporting practices so as to better understand the potential implications for producing reproducible results.

Whole examination AI estimation of fetal biometrics from 20-week ultrasound scans.

The current approach to fetal anomaly screening is based on biometric measurements derived from individually selected ultrasound images. In this paper, we introduce a paradigm shift that attains human-level performance in biometric measurement by aggregating automatically extracted biometrics from every frame across an entire scan, with no need for operator intervention. We use a neural network to classify each frame of an ultrasound video recording.

Children's executive functioning and health behaviors across pediatric life stages and ecological contexts.

Executive functioning (EF) has been linked to chronic disease risk in children. Health behaviors are thought to partially explain this association. The current cross-sectional study evaluated specific domains of EF and varied health behaviors in three pediatric life stages.

Phenotypic Expansion: Fetus With Cole-Carpenter Type 2 Presenting With Novel Neonatal Lethal Skeletal Dysplasia.

We report a 28-year-old G2P0 at 24 weeks 5 days who presented for evaluation secondary to suspected skeletal dysplasia in her fetus. Fetal ultrasound imaging demonstrated foreshortened long bones by 9-10 weeks, multiple bowing deformities and fractures, 11 foreshortened paired ribs with fractures, decreased skull mineralization, frontal bossing, enlarged cavum septum pellucidi, and severe fetal growth restriction (< 2%). Findings were concerning for life limiting condition with thoracic circumference < 2.

Automated craniofacial biometry with 3D T2w fetal MRI.

Objectives: Evaluating craniofacial phenotype-genotype correlations prenatally is increasingly important; however, it is subjective and challenging with 3D ultrasound. We developed an automated label propagation pipeline using 3D motion- corrected, slice-to-volume reconstructed (SVR) fetal MRI for craniofacial measurements.

Methods: A literature review and expert consensus identified 31 craniofacial biometrics for fetal MRI.