Latest AI and machine learning research in pediatrics for healthcare professionals.
BACKGROUND: Accurate classification of patient complaints is crucial for enhancing patient satisfact...
INTRODUCTION: Subsea applications recently received increasing attention due to the global expansion...
BACKGROUND: Growth discordance in twin pregnancies is associated with increased perinatal morbidity ...
OBJECTIVE: Evaluate the accuracy and reliability of various generative artificial intelligence (AI) ...
Postpartum depression (PPD) poses significant risks to maternal and infant health, yet proteomic ana...
Artificial intelligence and robotics are revolutionizing surgical practices by enhancing precision, ...
Late-onset depression (LOD) refers to depression that newly appears in elderly individuals without p...
Large language models (LLMs) are rapidly advancing medical artificial intelligence, offering revolut...
The propulsive fins of ray-finned fish are used for large scale locomotion and fine maneuvering, yet...
Estimating seismic anisotropy parameters, such as Thomson's parameters, is crucial for investigating...
Typically developing infants, between the corrected age of 9-20 weeks, produce fidgety movements. Th...
Maternal nutritional status plays a crucial role in embryonic development and has persistent effects...
OBJECTIVE: To use bibliometric methods to analyze the prospects and development trends of artificial...
Adolescents worldwide are increasingly affected by mental health disorders, with anxiety disorders, ...
BACKGROUND: Antibiotics, as the most commonly prescribed class of drugs in neonatal intensive care u...
To use electronic health record (EHR) data to develop a scalable and transferrable model to predict...
BACKGROUND: Around 7% of the global population has congenital hemoglobin disorders, with over 300,00...
OBJECTIVES: Approximal caries diagnosis in children is difficult, and artificial intelligence-based ...
This study presents an advanced methodology for 3D heart reconstruction using a combination of deep ...
Anxiety symptoms are among the most prevalent mental health disorders in adolescents, highlighting t...
PURPOSE: Thyroid nodules are common, and ultrasound-based risk stratification using ACR's TIRADS cla...