Latest AI and machine learning research in pediatrics for healthcare professionals.
BACKGROUND: The microbiome of adolescents is poorly understood, as are factors influencing its composition. We aimed to describe the healthy adolescent microbiome and identify early-life and concurrent predictors of its composition.
Rapidly increasing healthcare spending globally is significantly driven by high-need, high-cost (HNHC) patients, who account for the top 5% of annual healthcare costs but over half of total expenditures. The programs targeting existing HNHC patients have shown limited long-term impact, and research predicting HNHC pediatric patients in China is limited. There is an urgent need to establish a speci...
This study proposes a method for measuring the height and weight of a neonate conveniently, safely, and accurately by applying a convolutional neural ...
INTRODUCTION: Anaemia during pregnancy is a widespread health burden globally, especially in low- and middle-income countries, posing a serious risk t...
BACKGROUND: Identifying the risk factors for low APGAR scores at birth is critical for improving neonatal outcomes and guiding clinical interventions.
Today, drug discovery and development is one of the fields where Artificial Intelligence (AI) is used extensively. Therefore, this study aims to syste...
The integration of machine-learning technologies into radiology practice has the potential to significantly enhance diagnostic workflows and patient c...
OBJECTIVES: This study evaluates the effectiveness of three widely used large language models (LLMs)-ChatGPT-4, Copilot, and Gemini-in providing accur...
The proliferation of toxigenic fungi in food and the subsequent production of mycotoxins constitute a significant concern in the fields of public heal...
Neurofibromatosis type 1 (NF1) is an autosomal dominant disorder caused by mutations in the gene, typically diagnosed during early childhood and char...
BACKGROUND: Artificially intelligent (AI) chatbots that deploy natural language processing and machine learning are becoming more common in health car...
The evidence base for ultrasound and MRI imaging in pediatric rheumatic diseases continues to grow, enabling the routine clinical use of the two techn...
Artificial intelligence (AI) has recently been introduced into clinical practice with the potential to revolutionize medicine. AI will provide the phy...
Eating disorders, which include anorexia nervosa and bulimia nervosa, have been exacerbated by the COVID-19 pandemic, with increased diagnoses linke...
3D neuron growth and neurodevelopmental disorders (NDDs) deterioration exhibit complex morphological transformations as neurites differentiate into ...
Background: Advances in the theory and methods of computational oncology have enabled accurate characterization and prediction of tumor growth and t...
Surgery plays an important role within the treatment for neuroblastoma, a common pediatric cancer. This requires careful planning, often via magneti...
The global increase in the number of older people aged 65 and over is causing concern in healthcare and social systems. The lack of health and welfare...
OBJECTIVES: To develop facial growth prediction models using artificial intelligence (AI) under various conditions, and to compare performance of thes...
BACKGROUND: Exposure to air pollution and meteorological conditions, such as humidity, has been linked to adverse respiratory health outcomes in child...