Latest AI and machine learning research in pediatrics for healthcare professionals.
Coronaviruses, including SARS-CoV-2, are responsible for COVID-19, a highly transmissible disease that emerged in December 2019 in Wuhan, China. During the past five years, significant advancements have been made in understanding and mitigating the virus. Although the initial outbreak led to global health crises, improved vaccination strategies, antiviral treatments, and AI-driven diagnostic too...
Image captioning has been a longstanding challenge in vision-language research. With the rise of LLMs, modern Vision-Language Models (VLMs) generate detailed and comprehensive image descriptions. However, benchmarking the quality of such captions remains unresolved. This paper addresses two key questions: (1) How well do current VLMs actually perform on image captioning, particularly compared to...
Clinically acquired brain MRIs and radiology reports are valuable but underutilized resources due to the challenges of manual analysis and data hete...
To assess the diagnostic and treatment decision-making accuracy of ChatGPT for various dental problems in pediatric patients compared to specialized ...
To determine the comparative accuracy of seven generative artificial intelligence (GenAI) platforms in answering multiple-choice questions on a predo...
The rapid growth of social media has led to the widespread sharing of individual portrait images, which pose serious privacy risks due to the capabi...
Perinatal complications, defined as conditions that arise during pregnancy, childbirth, and the immediate postpartum period, represent a significant...
Structural and appearance changes in brain imaging over time are crucial indicators of neurodevelopment and neurodegeneration. The rapid advancement...
In the context of clinical research, computational models have received increasing attention over the past decades. In this systematic review, we ai...
Mental health challenges among Indian adolescents are shaped by unique cultural and systemic barriers, including high social stigma and limited prof...
Congenital Heart Disease (CHD) is one of the leading causes of fetal mortality, yet the scarcity of labeled CHD data and strict privacy regulations ...
Understanding plant growth dynamics is essential for applications in agriculture and plant phenotyping. We present the Growth Modelling (GroMo) chal...
Whether citations can be objectively and reliably used to measure productivity and scientific quality of articles and researchers can, and should, b...
Pediatric dental segmentation is critical in dental diagnostics, presenting unique challenges due to variations in dental structures and the lower n...
Gliomas are aggressive brain tumors that require accurate imaging-based diagnosis, with segmentation playing a critical role in evaluating morpholog...
In this work, we address the challenge of adaptive pediatric Left Ventricular Ejection Fraction (LVEF) assessment. While Test-time Training (TTT) ap...
Around 10% of newborns require some help to initiate breathing, and 5\% need ventilation assistance. Accurate Time of Birth (ToB) documentation is e...
Objective: ascending aortic aneurysm growth prediction is still challenging in clinics. In this study, we evaluate and compare the ability of local ...
Precise parcellation of functional networks (FNs) of early developing human brain is the fundamental basis for identifying biomarker of developmenta...
Rapid bone scintigraphy is an essential tool for diagnosing skeletal diseases and tumor metastasis in pediatric patients, as it reduces scan time an...