Pediatrics

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

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28-day all-cause mortality in patients with alcoholic cirrhosis: a machine learning prediction model based on the MIMIC-IV.

To develop and validate a machine learning prediction model for 28-day all-cause mortality in patien...

Challenges and Opportunities for Global Cervical Cancer Elimination: How Can We Build a Model for Other Cancers?

Cervical cancer remains a leading cause of cancer-related death among women globally, despite the av...

Arthroscopy-validated diagnostic performance of sub-5-min deep learning super-resolution 3T knee MRI in children and adolescents.

OBJECTIVE: This study aims to determine the diagnostic performance of sub-5-min combined sixfold par...

Effects of concurrent HER2-directed therapy on development of cerebral radionecrosis after stereotactic radiotherapy: a systematic review.

PURPOSE: With increasing use of human epithelial growth factor receptor two (HER2)-targeted therapie...

How mental health status and attitudes toward mental health shape AI Acceptance in psychosocial care: a cross-sectional analysis.

INTRODUCTION: Artificial Intelligence (AI) has become part of our everyday lives and is also increas...

Use of Artificial Intelligence in Adolescents' Mental Health Care: Systematic Scoping Review of Current Applications and Future Directions.

BACKGROUND: Given the increasing prevalence of mental health problems among adolescents, early inter...

Trust of Artificial Intelligence-Augmented Point-of-Care Ultrasound Among Pediatric Emergency Physicians.

OBJECTIVES: Artificial intelligence (AI) may improve many aspects of point-of-care ultrasound (POCUS...

Optimizing mangrove afforestation site selection in gulf cooperation council nations using remote sensing and machine learning.

Mangrove forests are vulnerable coastal ecosystems that provide multiple ecosystem services and act ...

Natural and anthropogenic influences on short-term forest growth status: Evidence and mechanisms from China.

The relationship between forest growth and natural-anthropogenic drivers remains controversial, and ...

Is it a pediatric orthopaedic urgency or not? Can ChatGPT answer this question?

BACKGROUND: Artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT,...

Context-Aware Biosensor Design Through Biology-Guided Machine Learning and Dynamical Modeling.

Addressing the challenge of achieving a global circular bioeconomy requires efficient and robust bio...

Machine learning for classification of pediatric bipolar disorder with and without psychotic symptoms based on thalamic subregional structural volume.

BACKGROUND: The thalamus plays a crucial role in sensory processing, emotional regulation, and cogni...

Evaluating the Impact of AI-Based Model-Informed Drug Development (MIDD): A Comparative Review.

Model-informed drug development (MIDD) methods play critical role to ensure development of efficacio...

Enhancing Antidiabetic Drug Selection Using Transformers: Machine-Learning Model Development.

BACKGROUND: Diabetes affects millions worldwide. Primary care physicians provide a significant porti...

Trust, Trustworthiness, and the Future of Medical AI: Outcomes of an Interdisciplinary Expert Workshop.

Trustworthiness has become a key concept for the ethical development and application of artificial i...

Modeling Normal and Abnormal Circuit Development with Recurrent Neural Networks.

Neural development must construct neural circuits that can perform the computations necessary for su...

AE-BoNet: A Deep Learning Method for Pediatric Bone Age Estimation using an Unsupervised Pre-Trained Model.

BACKGROUND: Accurate bone age assessment is essential for determining the actual degree of developme...

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