Pediatrics

Harnessing Artificial Intelligence in Pediatric Oncology Diagnosis and Treatment: A Review.

Artificial intelligence (AI) is rapidly transforming pediatric oncology by creating new means to imp...

Artificial Intelligence's Role in Improving Adverse Pregnancy Outcomes: A Scoping Review and Consideration of Ethical Issues.

: Adverse pregnancy outcomes (APOs), which include hypertensive disorders of pregnancy (gestational ...

Tract integrity predicts neurological outcomes in neonatal hypoxic-ischemic encephalopathy.

OBJECTIVE: Early prognostication in infants with neonatal hypoxic-ischemic encephalopathy (HIE) is c...

Machine Learning-Based Prediction of Post-Operative Systemic Inflammatory Response Syndrome Following Pediatric Percutaneous Nephrolithotripsy.

OBJECTIVE: This study aimed to develop and validate a machine learning-based model for predicting sy...

Physical and mental health management for the older adult using XGBoost algorithm supported by new media technology: developing personalized health intervention plans using healthcare data from the CLHLS database.

INTRODUCTION: With the increasing aging population, there is a growing need for precise and intellig...

Early diagnosis of autism across developmental stages through scalable and interpretable ensemble model.

Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition that challenges early ...

Leveling Up: Harnessing Cutting-Edge Technology to Enhance Oncology Education and Learning.

The integration and utilization of digital media, gamified learning strategies, and artificial intel...

A Novel and Modern Calculator to Predict Vaginal Birth after Cesarean Delivery.

Counseling patients who are considering a trial of labor after cesarean (TOLAC) is a challenging tas...

Predicting abnormal fetal growth using deep learning.

Ultrasound assessment of fetal size and growth is the mainstay of monitoring fetal well-being during...

The Innovation Paradox in Emerging Pharmaceutical Markets: Barriers and Opportunities for Sustainable Development.

Emerging pharmaceutical markets like Brazil, India, and China have seen significant growth due to ri...

Development of a machine learning-based predictive nomogram for screening children with juvenile idiopathic arthritis: a pseudo-longitudinal study of 223,195 children in the United States.

BACKGROUND: Juvenile idiopathic arthritis (JIA) is a prevalent chronic rheumatological condition in ...

Applying exposure-response analysis to enhance Mycophenolate Mofetil dosing precision in pediatric patients with immune-mediated renal diseases by machine learning models.

BACKGROUND: Mycophenolate mofetil (MMF), a cornerstone immunosuppressant for lupus nephritis, is inc...

Multimodal Machine Learning Analysis of GaSe Molecular Beam Epitaxy Growth Conditions.

Autonomous synthesis platforms integrating machine learning with in situ diagnostics have the potent...

Comparative Evaluation of ChatGPT and ChatGLM Performance in Response to Common Queries on Pediatric Atopic Dermatitis.

BACKGROUND: Atopic dermatitis (AD) is a prevalent chronic and recurrent skin condition in children. ...

Physics-based inverse modeling of battery degradation with Bayesian methods.

To further improve Lithium-ion batteries (LiBs), a profound understanding of complex battery process...

Artificial intelligence in pediatric intensive care: unlocking integrated monitoring for autonomic nervous system dysregulation.

as a favorable prognostic biomarker in pediatric osteosarcoma: an integrated analysis of machine learning, bioinformatics, and validation experiments.

BACKGROUND: Osteosarcoma (OS), the most common pediatric bone tumor, faces challenges with frequent ...

Future Perspectives of Liver Research in the Asia-Pacific Region: Focus on Hepatitis B and C.

The Asia-Pacific region faces serious liver health challenges, primarily because of the comparativel...

Comparison of ChatGPT-4, Microsoft Copilot, and Google Gemini for Pediatric Ophthalmology Questions.

PURPOSE: To evaluate the success of Chat Generative Pre-trained Transformer (ChatGPT; OpenAl), Googl...

Deep Learning Auto-segmentation of Diffuse Midline Glioma on Multimodal Magnetic Resonance Images.

Diffuse midline glioma (DMG) H3 K27M-altered is a rare pediatric brainstem cancer with poor prognosi...

Perinatal responsibility in a fragmented world: reflections from the 2024 international academy of perinatal medicine New York meeting.

This editorial introduces the Special Issue of the Journal of Perinatal Medicine dedicated to the 20...