Pediatrics

Latest AI and machine learning research in pediatrics for healthcare professionals.

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Personalized cardiometabolic care powered by artificial intelligence.

Advancements in artificial intelligence (AI) are providing a wealth of opportunities for improving c...

A Three-Dimensional Phenotype Extraction Method Based on Point Cloud Segmentation for All-Period Cotton Multiple Organs.

Phenotypic data of cotton can accurately reflect the physiological status of plants and their adapta...

The Role of Artificial Intelligence in Chronic Liver Diseases and Liver Transplantation.

In hepatology, pattern recognition in laboratory data and clinical characteristics is the hallmark o...

NSSI-Net: A Multi-Concept GAN for Non-Suicidal Self-Injury Detection Using High-Dimensional EEG in a Semi-Supervised Framework.

Non-suicidal self-injury (NSSI) is a serious threat to the physical and mental health of adolescents...

An X-ray bone age assessment method for hands and wrists of adolescents in Western China based on feature fusion deep learning models.

The epiphyses of the hand and wrist serve as crucial indicators for assessing skeletal maturity in a...

Multimodal MRI radiomics enhances epilepsy prediction in pediatric low-grade glioma patients.

BACKGROUND: Determining whether pediatric patients with low-grade gliomas (pLGGs) have tumor-related...

The silent epidemic of non-adherence - insights from the 2024 a:care congress.

Medication non-adherence is a global challenge with profound implications for patient health outcome...

The hermeneutic window and machine-based interactions in primary care: how do we prevent depersonalisation?

BACKGROUND: Digital technologies are transforming healthcare delivery by enhancing accessibility and...

Landscape of essential growth and fluconazole-resistance genes in the human fungal pathogen Cryptococcus neoformans.

Fungi can cause devastating invasive infections, typically in immunocompromised patients. Treatment ...

Unlocking the potential of wearable technology: Fitbit-derived measures for predicting ADHD in adolescents.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder ...

Machine learning-driven prediction of cycloplegic refractive error in Chinese children.

OBJECTIVE: To develop and validate machine learning (ML) models for predicting cycloplegic spherical...

Meta-analysis of shotgun sequencing of gut microbiota in obese children with MASLD or MASH.

Alterations in the gut microbiome affect the development and severity of metabolic dysfunction-assoc...

Co-designing an online educational resource to help adolescents improve their digital health literacy.

BACKGROUND: Digital media is ubiquitous in adolescents' lives and provides many opportunities to eng...

Postpartum depression in Northeastern China: a cross-sectional study 6 weeks after giving birth.

INTRODUCTION: Postpartum depression (PPD) is a prevalent mental health issue that poses significant ...

Microbial vitamin biosynthesis links gut microbiota dynamics to chemotherapy toxicity.

Dose-limiting toxicities pose a major barrier to cancer treatment. While preclinical studies show th...

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