Pediatrics

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

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Disparities in Diagnosis, Access to Specialist Care and Treatment for Inborn Errors of Immunity.

Inborn errors of immunity represent a rapidly expanding group of genetic disorders of the immune sys...

Growth assessment of mixed cultures of probiotics and common pathogens.

OBJECTIVES: In this work, an isothermal microcalorimeter was applied to investigate the antipathogen...

Artificial intelligence in early detection and prediction of pediatric/neonatal acute kidney injury: current status and future directions.

Acute kidney injury (AKI) has a significant impact on the short-term and long-term clinical outcomes...

Associations of maternal stress, gene expression, and newborn birthweight in the Democratic Republic of Congo.

OBJECTIVES: Maternal stress has long been associated with lower birthweight, which is associated wit...

Trimester-specific exposure to triclocarban during pregnancy: Associations with oxidative stress and size at birth.

Triclocarban (TCC) is an extensively used antimicrobial agent that exhibits endocrine disrupt potent...

Exploring patient perspectives on how they can and should be engaged in the development of artificial intelligence (AI) applications in health care.

BACKGROUND: Artificial intelligence (AI) is a rapidly evolving field which will have implications on...

Application of statistical machine learning in biomarker selection.

In the recent JAVELIN Bladder 100 phase 3 trial, avelumab plus best supportive care significantly pr...

Bacterial colony size growth estimation by deep learning.

The bacterial growth rate is important for pathogenicity and food safety. Therefore, the study of ba...

Exploring the potential of eye tracking on personalized learning and real-time feedback in modern education.

Eye tracking is one of the techniques used to investigate cognitive mechanisms involved in the schoo...

Healthcare Big Data in Hong Kong: Development and Implementation of Artificial Intelligence-Enhanced Predictive Models for Risk Stratification.

Routinely collected electronic health records (EHRs) data contain a vast amount of valuable informat...

Amharic political sentiment analysis using deep learning approaches.

This study delves into the realm of sentiment analysis in the Amharic language, focusing on politica...

The Potential of Chatbots for Emotional Support and Promoting Mental Well-Being in Different Cultures: Mixed Methods Study.

BACKGROUND: Artificial intelligence chatbot research has focused on technical advances in natural la...

Neural network execution using nicked DNA and microfluidics.

DNA has been discussed as a potential medium for data storage. Potentially it could be denser, could...

Deep learning-based identification of spine growth potential on EOS radiographs.

OBJECTIVES: To develop an automatic computer-based method that can help clinicians in assessing spin...

[The transformative effect of artificial intelligence in hospitals : The focus is on the individual].

Rapid advances in digital technology and the promising potential of artificial intelligence (AI) are...

An artificial intelligence study: automatic description of anatomic landmarks on panoramic radiographs in the pediatric population.

BACKGROUND: Panoramic radiographs, in which anatomic landmarks can be observed, are used to detect c...

Development of immersive learning framework (ILF) in achieving the goals of higher education: measuring the impact using a pre-post design.

Emerging technological tools like Artificial Intelligence-based Chatbots, digital educational altern...

Projected Growth in FDA-Approved Artificial Intelligence Products Given Venture Capital Funding.

PURPOSE: Medical imaging accounts for 85% of digital health's venture capital funding. As funding gr...

AI's deep dive into complex pediatric inguinal hernia issues: a challenge to traditional guidelines?

OBJECTIVE: This study utilized ChatGPT, an artificial intelligence program based on large language m...

Natural language processing for identification of refractory status epilepticus in children.

OBJECTIVE: Pediatric status epilepticus is one of the most frequent pediatric emergencies, with high...

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