Pediatrics

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

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Solving Complex Pediatric Surgical Case Studies: A Comparative Analysis of Copilot, ChatGPT-4, and Experienced Pediatric Surgeons' Performance.

The emergence of large language models (LLMs) has led to notable advancements across multiple sector...

Evaluating how different balancing data techniques impact on prediction of premature birth using machine learning models.

Premature birth can be defined as birth before 37 weeks of gestation, which is a significant global ...

Understanding patterns of loneliness in older long-term care users using natural language processing with free text case notes.

Loneliness and social isolation are distressing for individuals and predictors of mortality, yet dat...

Accelerating high-concentration monoclonal antibody development with large-scale viscosity data and ensemble deep learning.

Highly concentrated antibody solutions are necessary for developing subcutaneous injections but ofte...

Updates in Neonatal Seizures.

Neonatal seizures are a common medical emergency, necessitating prompt treatment. The most common et...

Predictive models of epidermal growth factor receptor mutation in lung adenocarcinoma using PET/CT-based radiomics features.

BACKGROUND: Lung adenocarcinoma (LAC) comprises a substantial subset of non-small cell lung cancer (...

AI-Enabled Screening for Retinopathy of Prematurity in Low-Resource Settings.

IMPORTANCE: Retinopathy of prematurity (ROP) is the leading cause of preventable childhood blindness...

Application of machine learning in predicting adolescent Internet behavioral addiction.

OBJECTIVE: To explore the risk factors affecting adolescents' Internet addiction behavior and build ...

Opportunities and Challenges for Large Language Models in Primary Health Care.

Primary Health Care (PHC) is the cornerstone of the global health care system and the primary object...

Multimodal contrastive learning for enhanced explainability in pediatric brain tumor molecular diagnosis.

Despite the promising performance of convolutional neural networks (CNNs) in brain tumor diagnosis f...

Multivariate Classification of Adolescent Major Depressive Disorder Using Whole-brain Functional Connectivity.

RATIONALE AND OBJECTIVES: Adolescent major depressive disorder (MDD) is a serious mental health cond...

O blood usage trends in the pediatric population 2015-2019: A multi-institutional analysis.

BACKGROUND: In 2019, AABB released the bulletin "Recommendations on the Use of Group O Red Blood Cel...

Can Artificial Intelligence Coach Faculty to Utilize Growth Mindset Language? A Qualitative Analysis of Feedback Statements.

INTRODUCTION: Feedback is at the core of competency-based medical education. Learner perceptions of ...

Design and Development of a Public AI Referee Assistance System Based on Harmony OS Platform.

The Hawkeye system was regarded as a successful and effective referee assistant in commercial applic...

Machine learning combined with infrared spectroscopy for detection of hypertension pregnancy: towards newborn and pregnant blood analysis.

Biochemical changes in the cervix during labor are not well understood. This gap in knowledge is sig...

Machine learning-based risk prediction model for pertussis in children: a multicenter retrospective study.

BACKGROUND: Pertussis is a highly contagious respiratory disease. Even though vaccination has reduce...

Large Language Model-Driven Knowledge Graph Construction in Sepsis Care Using Multicenter Clinical Databases: Development and Usability Study.

BACKGROUND: Sepsis is a complex, life-threatening condition characterized by significant heterogenei...

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