Pediatrics

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

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Artificial intelligence or sleep experts: comparing polysomnographic sleep staging in children and adolescents.

STUDY OBJECTIVES: The manual annotation of polysomnography (PSG) hypnograms is difficult and time-co...

ExposomeX: Development of an Integrative Exposomic Platform to Expedite Discovery of the "Exposure-Biology-Disease" Nexus.

We proposed presenting a novel integrated platform, ExposomeX, that was created to expedite discover...

Prediction of Adolescent Suicide Attempt by Integrating Clinical, Neurocognitive and Geocoded Neighborhood Environment Data.

BACKGROUND AND HYPOTHESIS: Suicide attempt is a complex behavior influenced by a combination of fact...

Modeling the Determinants of Subjective Well-Being in Schizophrenia.

BACKGROUND: The ultimate goal of successful schizophrenia treatment is not just to alleviate psychot...

Incorporating end-user perspectives into the development of a machine learning algorithm for first time perinatal depression prediction.

OBJECTIVE: Machine learning algorithms can advance clinical care, including identifying mental healt...

Application of Artificial Intelligence in the Development of Traditional Chinese Medicine.

Traditional Chinese medicine (TCM) has long been recognized for its mild therapeutic effects, signif...

Building efficiency: How the national AI innovation pilot zones enhance green energy utilization? Evidence from China.

Improving energy efficiency is a pivotal strategy for achieving energy conservation, emission reduct...

Artificial intelligence in pediatric otolaryngology: A state-of-the-art review of opportunities and pitfalls.

BACKGROUND: Artificial Intelligence (AI) and machine learning (ML) have transformative potential in ...

Deep learning-based auto-contouring of organs/structures-at-risk for pediatric upper abdominal radiotherapy.

PURPOSES: This study aimed to develop a computed tomography (CT)-based multi-organ segmentation mode...

Predictive Modeling of Human Skin Deformation and Growth During Tissue Expansion in Postmastectomy Breast Reconstruction.

Breast reconstruction using tissue expanders is the primary treatment option following mastectomy. A...

Comparative Analysis of Information Quality in Pediatric Otorhinolaryngology: Clinicians, Residents, and Large Language Models.

OBJECTIVE: Pediatric otorhinolaryngology (ORL) addresses complex conditions in children, requiring a...

CHRONIC CRITICAL ILLNESS IN BONE TRAUMA PATIENTS: AN AI-BASED APPROACH FOR INTENSIVE CARE UNIT HEALTHCARE PROVIDERS.

Background: Chronic critical illness (CCI) is a serious condition characterized by a prolonged cours...

Predicting treatment outcome in congenital adrenal hyperplasia using urine steroidomics and machine learning.

OBJECTIVE: Treatment monitoring of individuals with congenital adrenal hyperplasia (CAH) remains uns...

Predicting the morphology of cobalt, copper, and ruthenium on TaN for interconnect metal deposition.

Downscaling of metal interconnects has become a bottleneck in the back-end-of-line processing of CMO...

Fetal growth disorders detection during first trimester gestation through comprehensive maternal circulating DNA profiling.

BACKGROUND: Early diagnosis, close follow-up and timely delivery constitute the main elements for ap...

Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb.

Digital health interventions offer promise for scalable and accessible health care, but access is st...

Predictive Performance of Machine Learning for Suicide in Adolescents: Systematic Review and Meta-Analysis.

BACKGROUND: In the context of escalating global mental health challenges, adolescent suicide has bec...

Evaluating the Accuracy, Clarity, and Safety of Artificial Intelligence-Generated Information on Clubfoot.

BACKGROUND: Clubfoot is a congenital foot deformity treated primarily by the Ponseti method. Despite...

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