Latest AI and machine learning research in pediatrics for healthcare professionals.
Traditional depression screening methods, such as the PHQ-9, are particularly challenging for chil...
Watermarking, the practice of embedding imperceptible information into media such as images, video...
This study investigates the dissemination of disinformation on social media platforms during the D...
Pneumonia is a leading cause of illness and death in children, underscoring the need for early and...
Rapid advances in 3D model scanning have enabled the mass digitization of dental clay models. Howe...
The clinical adoption of artificial intelligence (AI) in medical imaging requires models that are ...
Alzheimers disease is a deadly neurological condition, impairing important memory and brain functi...
In today's interconnected society, social media platforms have become an important part of our liv...
Clinical machine learning deployment across institutions faces significant challenges when patient...
This paper introduces UI-TARS, a native GUI agent model that solely perceives the screenshots as i...
Societal and personal values are transmitted to younger generations through interaction and exposu...
Research has increasingly explored the application of artificial intelligence (AI) and machine lea...
Given an $\mathbb{N}$-weighted tree automaton, we give a decision procedure for exponential vs pol...
Neuroblastoma, is a highly heterogeneous pediatric tumour and is responsible for 15% of pediatric ...
Lung adenocarcinoma (LUAD) is a morphologically heterogeneous disease, characterized by five prima...
BACKGROUND: Postoperative recurrence risk for pediatric low-grade gliomas (pLGGs) is challenging to ...
Congenital heart disease is among the most common fetal abnormalities and birth defects. Despite i...
In current medical practice, patients undergoing depression treatment must wait four to six weeks ...
By use of complex network dynamics and graph-based machine learning, we identified critical determ...
Automated viewpoint classification in echocardiograms can help under-resourced clinics and hospita...
Visual Question Answering (VQA) is an evolving research field aimed at enabling machines to answer...