Latest AI and machine learning research in pediatrics for healthcare professionals.
RATIONALE AND OBJECTIVES: Routine knee MRI protocols for 1.5Â T and 3Â T scanners, do not include T2*-...
To improve the efficiency of hyaluronic acid production by Streptococcus zooepidemicus, the growth m...
PURPOSE: Distal radius (wrist) and supracondylar (elbow) fractures are common in children presenting...
This research presents an innovative neuromorphic method utilizing Spiking Neural Networks (SNNs) to...
BACKGROUND: Waitlist mortality remains a critical issue for pediatric heart transplant (HTx) candida...
Lung adenocarcinoma (LUAD) is a morphologically heterogeneous disease, characterized by five primary...
The increasing integration of artificial intelligence (AI) in social media platforms has transformed...
OBJECTIVE: The medical community recently experienced a severe shortage of blood culture media bottl...
Applications of artificial intelligence (AI) and machine learning (ML) are rapidly developing to sup...
This study employs Convolutional Neural Networks (CNNs) as feature extractors with appended regressi...
Hair cortisol concentration (HCC) has been theorized to reflect chronic stress, and maternal and inf...
Artificial intelligence (AI)-based clinical decision support systems (CDSS) hold great promise for m...
OBJECTIVE: We evaluated the accuracy of an artificial intelligence program (ChatGPT 4.0) as a medica...
The neonatal intensive care unit (NICU) is a data-rich environment that is an ideal setting for the ...
The ethical challenges of artificial intelligence (AI) in health require guardrails to mitigate and ...
Although still limited, the integration of artificial intelligence (AI) in health care has rapidly e...
The Omicron (B.1.1.529) variant of SARS-CoV-2 emerged in November 2021 and has since evolved into mu...
BACKGROUND: Pre-eclampsia (PE) contributes to more than one-fourth of all maternal deaths and half a...
Smartphone addiction (SA) significantly impacts the physical and mental health of adolescents, and c...
Secundum atrial septal defect (ASD2) detection is often delayed, with the potential for late diagnos...
OBJECTIVE: To evaluate the accuracy and completeness of large language models (LLMs) in interpreting...