Results 171 to 180 of about 105,841 (266)

Prenatal Spectrum of COL2A1‐Related Spondyloepiphyseal Dysplasia Congenita: A Review and Two Case Reports

open access: yesPrenatal Diagnosis, EarlyView.
ABSTRACT Objective To review the published literature on prenatal findings of COL2A1‐related SEDC, summarizing reported imaging and molecular variants, and to describe two additional prenatal cases evaluated at a tertiary referral center. Method A narrative review with a systematic search strategy was conducted to analyze prenatal imaging findings ...
López‐Rodríguez Larissa   +10 more
wiley   +1 more source

Fetal Brain Abnormalities Following Laser Surgery for Twin‐to‐Twin Transfusion Syndrome: Imaging Patterns and Evolution

open access: yesPrenatal Diagnosis, EarlyView.
ABSTRACT Introduction Severe brain injury has been reported following fetoscopic laser ablation (FLA) for twin‐to‐twin transfusion syndrome (TTTS), but imaging patterns and temporal evolution remain poorly defined. This study aimed to characterize the progression of severe brain injury after FLA. Methods We conducted a retrospective case series of TTTS
Yada Kunpalin   +8 more
wiley   +1 more source

Predictors of Sleep Habits in Premature Infants: A Cross-Sectional Study. [PDF]

open access: yesIran J Child Neurol
Nooripour S   +5 more
europepmc   +1 more source

Ultrasound‐based renal growth curves in Chinese children aged 0–14 years

open access: yesPediatric Investigation, EarlyView.
Between June 2016 and July 2023, 6033 Chinese children aged 0–14 were recruited from our hospital using renal ultrasound examinations. This study provides comprehensive reference data for renal development in Chinese children aged 0–14 years, highlighting age‐related patterns and strong positive associations with height.
Baohuan Cai   +4 more
wiley   +1 more source

The transformative potential of artificial intelligence in pediatric medicine: Current applications, methodological challenges, and future directions

open access: yesPediatric Investigation, EarlyView.
Artificial intelligence (AI) offers transformative potential for paediatric diagnosis and treatment, yet implementation faces unique challenges, including data scarcity, algorithmic bias, and children's developmental physiology. This review examines current applications and charts a path toward transparent, equitable, and trustworthy AI in child health.
Ruisong Wang   +3 more
wiley   +1 more source

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