Pregnancy

Deep learning for pediatric synovial recess distension detection in hemophilia: synthetic image augmentation with styleGAN2-ADA.

PURPOSE: Pediatric musculoskeletal ultrasound (MSKUS) datasets are scarce, especially for rare, sex-linked conditions such as hemophilia. Models trained on adult data have limited generalizability due to anatomical differences. We aimed to improve pediatric synovial recess distension (SRD) classification by augmenting real data with synthetic images. METHODS: We developed a tailored augmentation f...

An algorithm to identify less invasive surfactant administration using a real-world database of preterm infants.

BACKGROUND: Surfactant replacement therapy is central to respiratory distress syndrome (RDS) management in preterm infants, which can be delivered using a variety of methods. Less invasive surfactant administration (LISA) has been increasingly adopted due to its association with improved neonatal outcomes. However, there are no procedure codes to identify LISA in large real-world data (RWD), limit...

Pregnancy changes the variability of brain signaling.

We have shown that pregnancy alters brain structure and brain activity, yet its effects on neural dynamics are unknown. This is the first study to inv...

Deep Learning-Based Multimodal Fusion of Ultrasound, Cytology, and Clinical Features to Distinguish Follicular Thyroid Carcinoma from Adenoma: A Multicenter Study.

RATIONALE AND OBJECTIVES: Preoperative differentiation between follicular thyroid carcinoma (FTC) and follicular thyroid adenoma (FTA) remains challen...

MRI-based spatio-temporal atlas of ganglionic eminence.

OBJECTIVE: Fetal brain magnetic resonance imaging (MRI) provides insights into the architecture of the human brain. Recently, an increasing interest h...

Nurses' Evaluation of a Service Robot for Inpatient Care: Technology Acceptance Study.

BACKGROUND: The integration of robotic systems into nursing practice is increasingly discussed as a potential strategy to alleviate workload and suppo...

A multicentre benchmark dataset for comprehensive landmark-based fetal ultrasound biometry.

Analysis of B-Scan Ultrasonography Using Neural Networks to Predict Risk of Fibrosis in Patients With Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD).

OBJECTIVE: The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) continues to rise, underscoring the need for tools to st...

Development of a Predictive Model for the Latency Period in Preterm Premature Rupture of Membranes Before 32 Weeks' Gestation.

BACKGROUND: Only 13.7% of corticosteroid treatments occurred within the most effective treatment time window for preterm premature rupture of membrane...

Personalized Digital Care Program Allocation for Older Adults: Reinforcement Learning-Based Simulation Study.

BACKGROUND: As the demand for innovative older adult care grows alongside a shortage of care workers, personalization is key to optimizing services an...

Prediction of premature rupture of fetal membranes using deep learning in East China.

If premature rupture of fetal membranes (PROM) can be forecasted, doctors can formulate individualized medical treatment plans and optimize the utiliz...

Translational Research to Maximize the Impact of e-Oral Health.

The rapid development of digital technologies is reshaping oral health research and care delivery. However, the translation of these innovations into ...

3D printed drug delivery devices: recent promises and challenges.

INTRODUCTION: 3D Printing (3DP) has gained decent pace in the past decade in the pharmaceutical and biomedical fields. The approval of 3D-printed medi...

From Other Journals: A Review of Recent Articles by Our Editorial Team - 2026 First Edition.

In this review we provide a brief description of recently published articles addressing topics relevant to pediatric cardiologists. Our hope is to pro...

Smart hydrogels for overcoming cancer multidrug resistance.

Multidrug resistance (MDR) remains the principal impediment to curative oncology, driven by complex interplays between cancer cells and the tumor micr...

Automated O-RADS Risk Stratification Using a Large Language Model Analysis of Narrative Ultrasound Reports.

BACKGROUND: The Ovarian-Adnexal Reporting and Data System (O-RADS) is essential for standardizing the risk stratification of ovarian lesions detected ...

Carpal Tunnel Syndrome Diagnosis: A Narrative Review of Complementary Roles of Neuromuscular Ultrasound and Electrodiagnostic Studies.

Carpal tunnel syndrome (CTS), the most prevalent entrapment neuropathy of the upper extremities, presents diagnostic challenges due to nonspecific cli...

Model Based on Ultrasound Radiomics and Machine Learning for Differentiating Uterine Fibroids and Adenomyomas.

OBJECTIVES: To evaluate the value of radiomics based on ultrasound in differentiating uterine fibroids (UFs) and uterine adenomyomas (AMs) and constru...

Diagnostic accuracy of artificial intelligence-assisted infant hip ultrasound interpretation for developmental dysplasia of the hip: systematic review and meta-analysis.

BACKGROUND: Ultrasound is the standard imaging test for infant developmental dysplasia of the hip (DDH) but is highly operator-dependent, leading to v...

Ultrasound Radiomics for Hashimoto's Thyroiditis: State of the Art and Future Perspectives.

Ultrasound radiomics is gradually emerging as a powerful tool for improving the diagnosis and management of Hashimoto's thyroiditis (HT), effectively ...