Results 231 to 240 of about 355,554 (310)

Prenatal Tympanic Ring Anomaly Without Microtia: A Subtle Clue Toward Severe Early‐Onset Monogenic Disorders

open access: yesPrenatal Diagnosis, EarlyView.
ABSTRACT Objective To investigate the genetic etiologies and clinical significance of fetal tympanic ring abnormalities detected during second‐trimester ultrasound in the absence of microtia. Method Between November 2019 and June 2024, we examined the fetal tympanic rings of 10,277 unselected pregnant women during the 20–22 weeks of morphology ...
Yung Hang Lam   +5 more
wiley   +1 more source

Artificial Intelligence as an Add‐On Instrument in Fetal Ultrasound; Sonographers' and Obstetricians' Expectations

open access: yesPrenatal Diagnosis, EarlyView.
ABSTRACT Objective Artificial intelligence applications (AIA) in fetal ultrasound are rapidly evolving, yet their integration into routine clinical practice remains limited. This study explores the attitudes, expectations and concerns of obstetric sonographers and gynecologists regarding AIA as a diagnostic aid during fetal anomaly scans.
Renée M. Smit   +4 more
wiley   +1 more source

Intelligent quality control for first trimester ultrasound scans in Liaoning Province of China. [PDF]

open access: yesNPJ Digit Med
Chen L   +8 more
europepmc   +1 more source

In Utero HSC Transplantation for Sickle Cell Disease: A Potential Therapeutic Approach That Overcomes Complications of Current Therapies

open access: yesPrenatal Diagnosis, EarlyView.
ABSTRACT Sickle cell disease (SCD) affects millions worldwide but has limited treatment options, most of which carry significant side effects. At present, the only curative treatment for SCD is allogeneic or gene‐modified autologous hematopoietic stem cell (HSC) transplantation (Tx).
Oluwaseun O. Babatunde   +4 more
wiley   +1 more source

Clinical Presentation and Treatment of Hyperemesis Gravidarum in a Lady Carrying Twins in the First Trimester: A Case Reports. [PDF]

open access: yesClin Case Rep
Banyanga David K   +10 more
europepmc   +1 more source

Deep Learning–Based Segmentation of Fetal Anatomical Structures in the First Trimester

open access: yesPrenatal Diagnosis, EarlyView.
ABSTRACT Objectives To develop and evaluate an artificial intelligence (AI) system that automatically identifies and classifies the fetal structures in the first trimester. Method Over 20,000 ultrasound images from first‐trimester fetuses were prospectively collected from four university hospitals in the Republic of Korea.
Subeen Hong   +13 more
wiley   +1 more source

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